Search

Your search keyword '"Webb-Robertson, Bobbie-Jo"' showing total 682 results
Start Over Author "Webb-Robertson, Bobbie-Jo"
682 results on '"Webb-Robertson, Bobbie-Jo"'

1. Mapping microhabitats of lignocellulose decomposition by a microbial consortium

Author

Veličković, Marija, Wu, Ruonan, Gao, Yuqian, Thairu, Margaret W., Veličković, Dušan, Munoz, Nathalie, Clendinen, Chaevien S., Bilbao, Aivett, Chu, Rosalie K., Lalli, Priscila M., Zemaitis, Kevin, Nicora, Carrie D., Kyle, Jennifer E., Orton, Daniel, Williams, Sarai, Zhu, Ying, Zhao, Rui, Monroe, Matthew E., Moore, Ronald J., Webb-Robertson, Bobbie-Jo M., Bramer, Lisa M., Currie, Cameron R., Piehowski, Paul D., and Burnum-Johnson, Kristin E.

Published
2024
Full Text
View/download PDF

2. Decoding the Molecular Universe -- Workshop Report

Author

Metz, Thomas O., Adkins, Joshua N., Armentrout, Peter B., Chain, Patrick, Chu, Fanny, Corley, Courtney D, Cort, John R., Denis, Elizabeth, Drell, Daniel, Duncan, Katherine R., Ewing, Robert G., Fernandez, Facundo M., Fiehn, Oliver, Garg, Neha, Grimme, Stefan, Henry, Christopher, Hettich, Robert L., Kind, Tobias, Linington, Roger G., Miller, Gary W., Northen, Trent, Overdahl, Kirsten, Patrinos, Ari, Raftery, Daniel, Rigor, Paul, Smith, Richard D., Sobus, Jon, Teeguarden, Justin, Vertes, Akos, Waters, Katrina, Webb-Robertson, Bobbie-Jo, Williams, Antony, and Wishart, David

Subjects
Quantitative Biology - Biomolecules
Abstract

On August 9-10, 2023, a workshop was convened at the Pacific Northwest National Laboratory (PNNL) in Richland, WA that brought together a group of internationally recognized experts in metabolomics, natural products discovery, chemical ecology, chemical and biological threat assessment, cheminformatics, computational chemistry, cloud computing, artificial intelligence, and novel technology development. These experts were invited to assess the value and feasibility of a grand-scale project to create new technologies that would allow the identification and quantification of all small molecules, or to decode the molecular universe. The Decoding the Molecular Universe project would extend and complement the success of the Human Genome Project by developing new capabilities and technologies to measure small molecules (defined as non-protein, non-polymer molecules less than 1500 Daltons) of any origin and generated in biological systems or produced abiotically. Workshop attendees 1) explored what new understanding of biological and environmental systems could be revealed through the lens of small molecules; 2) characterized the similarities in current needs and technical challenges between each science or mission area for unambiguous and comprehensive determination of the composition and quantities of small molecules of any sample; 3) determined the extent to which technologies or methods currently exist for unambiguously and comprehensively determining the small molecule composition of any sample and in a reasonable time; and 4) identified the attributes of the ideal technology or approach for universal small molecule measurement and identification. The workshop concluded with a discussion of how a project of this scale could be undertaken, possible thrusts for the project, early proof-of-principle applications, and similar efforts upon which the project could be modeled.

Published
2023

3. Proteogenomic characterization of difficult-to-treat breast cancer with tumor cells enriched through laser microdissection

Author

Raj-Kumar, Praveen-Kumar, Lin, Xiaoying, Liu, Tao, Sturtz, Lori A., Gritsenko, Marina A., Petyuk, Vladislav A., Sagendorf, Tyler J., Deyarmin, Brenda, Liu, Jianfang, Praveen-Kumar, Anupama, Wang, Guisong, McDermott, Jason E., Shukla, Anil K., Moore, Ronald J., Monroe, Matthew E., Webb-Robertson, Bobbie-Jo M., Hooke, Jeffrey A., Fantacone-Campbell, Leigh, Mostoller, Brad, Kvecher, Leonid, Kane, Jennifer, Melley, Jennifer, Somiari, Stella, Soon-Shiong, Patrick, Smith, Richard D., Mural, Richard J., Rodland, Karin D., Shriver, Craig D., Kovatich, Albert J., and Hu, Hai

Published
2024
Full Text
View/download PDF

4. A compendium of multi-omics data illuminating host responses to lethal human virus infections

Author

Eisfeld, Amie J., Anderson, Lindsey N., Fan, Shufang, Walters, Kevin B., Halfmann, Peter J., Westhoff Smith, Danielle, Thackray, Larissa B., Tan, Qing, Sims, Amy C., Menachery, Vineet D., Schäfer, Alexandra, Sheahan, Timothy P., Cockrell, Adam S., Stratton, Kelly G., Webb-Robertson, Bobbie-Jo M., Kyle, Jennifer E., Burnum-Johnson, Kristin E., Kim, Young-Mo, Nicora, Carrie D., Peralta, Zuleyma, N’jai, Alhaji U., Sahr, Foday, van Bakel, Harm, Diamond, Michael S., Baric, Ralph S., Metz, Thomas O., Smith, Richard D., Kawaoka, Yoshihiro, and Waters, Katrina M.

Published
2024
Full Text
View/download PDF

5. Regulation of β-cell death by ADP-ribosylhydrolase ARH3 via lipid signaling in insulitis

Author

Sarkar, Soumyadeep, Deiter, Cailin, Kyle, Jennifer E., Guney, Michelle A., Sarbaugh, Dylan, Yin, Ruichuan, Li, Xiangtang, Cui, Yi, Ramos-Rodriguez, Mireia, Nicora, Carrie D., Syed, Farooq, Juan-Mateu, Jonas, Muralidharan, Charanya, Pasquali, Lorenzo, Evans-Molina, Carmella, Eizirik, Decio L., Webb-Robertson, Bobbie-Jo M., Burnum-Johnson, Kristin, Orr, Galya, Laskin, Julia, Metz, Thomas O., Mirmira, Raghavendra G., Sussel, Lori, Ansong, Charles, and Nakayasu, Ernesto S.

Published
2024
Full Text
View/download PDF

6. Inhibition of the eukaryotic initiation factor-2[alpha] kinase PERK decreases risk of autoimmune diabetes in mice

Author

Muralidharan, Charanya, Huang, Fei, Enriquez, Jacob R., Wang, Jiayi E., Nelson, Jennifer B., Nargis, Titli, May, Sarah C., Chakraborty, Advaita, Figatner, Kayla T., Navitskaya, Svetlana, Anderson, Cara M., Calvo, Veronica, Surguladze, David, Mulvihill, Mark J., Yi, Xiaoyan, Sarkar, Soumyadeep, Oakes, Scott A., Webb-Robertson, Bobbie-Jo M., Sims, Emily K., Staschke, Kirk A., Eizirik, Decio L., Nakayasu, Ernesto S., Stokes, Michael E., Tersey, Sarah A., and Mirmira, Raghavendra G.

Subjects
Ligands (Biochemistry) -- Health aspects, Type 1 diabetes -- Diagnosis -- Care and treatment, Phosphotransferases -- Health aspects, Stress (Physiology) -- Health aspects
Abstract

Preventing the onset of autoimmune type 1 diabetes (T1D) is feasible through pharmacological interventions that target molecular stress-responsive mechanisms. Cellular stresses, such as nutrient deficiency, viral infection, or unfolded proteins, trigger the integrated stress response (ISR), which curtails protein synthesis by phosphorylating eukaryotic translation initiation factor-2[alpha] (eIF2[alpha]). In T1D, maladaptive unfolded protein response (UPR) in insulin-producing [beta] cells renders these cells susceptible to autoimmunity. We found that inhibition of the eIF2a kinase PKR-like ER kinase (PERK), a common component of the UPR and ISR, reversed the mRNA translation block in stressed human islets and delayed the onset of diabetes, reduced islet inflammation, and preserved [beta] cell mass in T1D-susceptible mice. Single-cell RNA-Seq of islets from PERK-inhibited mice showed reductions in the UPR and PERK signaling pathways and alterations in antigen-processing and presentation pathways in p cells. Spatial proteomics of islets from these mice showed an increase in the immune checkpoint protein programmed death-ligand 1 (PD-L1) in [beta] cells. Golgi membrane protein 1, whose levels increased following PERK inhibition in human islets and EndoC-[beta]H1 human [beta] cells, interacted with and stabilized PD-L1. Collectively, our studies show that PERK activity enhances [beta] cell immunogenicity and that inhibition of PERK may offer a strategy for preventing or delaying the development of T1D., Introduction Type 1 diabetes (T1D) is a disorder of glucose homeostasis that results from the autoimmune destruction of insulin-producing islet [beta] cells. The importance of the immune system in initiating [...]

Published
2024
Full Text
View/download PDF

7. Itaconic acid production is regulated by LaeA in Aspergillus pseudoterreus

Author

Pomraning, Kyle R, Dai, Ziyu, Munoz, Nathalie, Kim, Young-Mo, Gao, Yuqian, Deng, Shuang, Lemmon, Teresa, Swita, Marie S, Zucker, Jeremy D, Kim, Joonhoon, Mondo, Stephen J, Panisko, Ellen, Burnet, Meagan C, Webb-Robertson, Bobbie-Jo M, Hofstad, Beth, Baker, Scott E, Burnum-Johnson, Kristin E, Magnuson, Jon K, and BioFoundry, for the Agile

Subjects
Nutrition, Genetics, Biotechnology, Emerging Infectious Diseases, Agile BioFoundry, Aspergillus pseudoterreus, Itaconic acid, Multi-omics, Phosphate, Process robustness, laeA
Abstract

The global regulator LaeA controls secondary metabolism in diverse Aspergillus species. Here we explored its role in regulation of itaconic acid production in Aspergillus pseudoterreus. To understand its role in regulating metabolism, we deleted and overexpressed laeA, and assessed the transcriptome, proteome, and secreted metabolome prior to and during initiation of phosphate limitation induced itaconic acid production. We found that secondary metabolite clusters, including the itaconic acid biosynthetic gene cluster, are regulated by laeA and that laeA is required for high yield production of itaconic acid. Overexpression of LaeA improves itaconic acid yield at the expense of biomass by increasing the expression of key biosynthetic pathway enzymes and attenuating the expression of genes involved in phosphate acquisition and scavenging. Increased yield was observed in optimized conditions as well as conditions containing excess nutrients that may be present in inexpensive sugar containing feedstocks such as excess phosphate or complex nutrient sources. This suggests that global regulators of metabolism may be useful targets for engineering metabolic flux that is robust to environmental heterogeneity.

Published
2022

8. Learning from learning machines: a new generation of AI technology to meet the needs of science

Author

Pion-Tonachini, Luca, Bouchard, Kristofer, Martin, Hector Garcia, Peisert, Sean, Holtz, W. Bradley, Aswani, Anil, Dwivedi, Dipankar, Wainwright, Haruko, Pilania, Ghanshyam, Nachman, Benjamin, Marrone, Babetta L., Falco, Nicola, Prabhat, Arnold, Daniel, Wolf-Yadlin, Alejandro, Powers, Sarah, Climer, Sharlee, Jackson, Quinn, Carlson, Ty, Sohn, Michael, Zwart, Petrus, Kumar, Neeraj, Justice, Amy, Tomlin, Claire, Jacobson, Daniel, Micklem, Gos, Gkoutos, Georgios V., Bickel, Peter J., Cazier, Jean-Baptiste, Müller, Juliane, Webb-Robertson, Bobbie-Jo, Stevens, Rick, Anderson, Mark, Kreutz-Delgado, Ken, Mahoney, Michael W., and Brown, James B.

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science create tension between identifying patterns in data versus discovering patterns in the world from data. If we address the fundamental challenges associated with "bridging the gap" between domain-driven scientific models and data-driven AI learning machines, then we expect that these AI models can transform hypothesis generation, scientific discovery, and the scientific process itself.

Published
2021

11. A genomic data archive from the Network for Pancreatic Organ donors with Diabetes

Author

Perry, Daniel J., Shapiro, Melanie R., Chamberlain, Sonya W., Kusmartseva, Irina, Chamala, Srikar, Balzano-Nogueira, Leandro, Yang, Mingder, Brant, Jason O., Brusko, Maigan, Williams, MacKenzie D., McGrail, Kieran M., McNichols, James, Peters, Leeana D., Posgai, Amanda L., Kaddis, John S., Mathews, Clayton E., Wasserfall, Clive H., Webb-Robertson, Bobbie-Jo M., Campbell-Thompson, Martha, Schatz, Desmond, Evans-Molina, Carmella, Pugliese, Alberto, Concannon, Patrick, Anderson, Mark S., German, Michael S., Chamberlain, Chester E., Atkinson, Mark A., and Brusko, Todd M.

Published
2023
Full Text
View/download PDF

13. Further engineering of R. toruloides for the production of terpenes from lignocellulosic biomass

Author

Kirby, James, Geiselman, Gina M, Yaegashi, Junko, Kim, Joonhoon, Zhuang, Xun, Tran-Gyamfi, Mary Bao, Prahl, Jan-Philip, Sundstrom, Eric R, Gao, Yuqian, Munoz, Nathalie, Burnum-Johnson, Kristin E, Benites, Veronica T, Baidoo, Edward EK, Fuhrmann, Anna, Seibel, Katharina, Webb-Robertson, Bobbie-Jo M, Zucker, Jeremy, Nicora, Carrie D, Tanjore, Deepti, Magnuson, Jon K, Skerker, Jeffrey M, and Gladden, John M

Subjects
Biological Sciences, Industrial Biotechnology, Rhodotorula, Mevalonate pathway, Isoprenoids, Metabolic engineering, &#913, -bisabolene, Eucalyptol, 1, 8-Cineole, 1, 8-Cineole, Α-bisabolene
Abstract

BackgroundMitigation of climate change requires that new routes for the production of fuels and chemicals be as oil-independent as possible. The microbial conversion of lignocellulosic feedstocks into terpene-based biofuels and bioproducts represents one such route. This work builds upon previous demonstrations that the single-celled carotenogenic basidiomycete, Rhodosporidium toruloides, is a promising host for the production of terpenes from lignocellulosic hydrolysates.ResultsThis study focuses on the optimization of production of the monoterpene 1,8-cineole and the sesquiterpene α-bisabolene in R. toruloides. The α-bisabolene titer attained in R. toruloides was found to be proportional to the copy number of the bisabolene synthase (BIS) expression cassette, which in turn influenced the expression level of several native mevalonate pathway genes. The addition of more copies of BIS under a stronger promoter resulted in production of α-bisabolene at 2.2 g/L from lignocellulosic hydrolysate in a 2-L fermenter. Production of 1,8-cineole was found to be limited by availability of the precursor geranylgeranyl pyrophosphate (GPP) and expression of an appropriate GPP synthase increased the monoterpene titer fourfold to 143 mg/L at bench scale. Targeted mevalonate pathway metabolite analysis suggested that 3-hydroxy-3-methyl-glutaryl-coenzyme A reductase (HMGR), mevalonate kinase (MK) and phosphomevalonate kinase (PMK) may be pathway bottlenecks are were therefore selected as targets for overexpression. Expression of HMGR, MK, and PMK orthologs and growth in an optimized lignocellulosic hydrolysate medium increased the 1,8-cineole titer an additional tenfold to 1.4 g/L. Expression of the same mevalonate pathway genes did not have as large an impact on α-bisabolene production, although the final titer was higher at 2.6 g/L. Furthermore, mevalonate pathway intermediates accumulated in the mevalonate-engineered strains, suggesting room for further improvement.ConclusionsThis work brings R. toruloides closer to being able to make industrially relevant quantities of terpene from lignocellulosic biomass.

Published
2021

14. Online Interactive Platform for COVID-19 Literature Visual Analytics: Platform Development Study.

Author

Moran, Addy, Hampton, Shawn, Dowson, Scott, Dagdelen, John, Trewartha, Amalie, Ceder, Gerbrand, Persson, Kristin, Saxon, Elise, Barker, Andrew, Charles, Lauren, and Webb-Robertson, Bobbie-Jo

Subjects
Humans, Image Interpretation, Computer-Assisted, Natural Language Processing, Software, User-Computer Interface, Information Storage and Retrieval, COVID-19, SARS-CoV-2, interactive, literature, natural language processing, online platform, pattern, publish, research, scientific literature, software, tool, usability, visual analytics, Information and Computing Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Medical Informatics
Abstract

BackgroundPapers on COVID-19 are being published at a high rate and concern many different topics. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify subsets of interest in an automated fashion.ObjectiveWe present a new online software resource with a friendly user interface that allows users to query and interact with visual representations of relationships between publications.MethodsWe publicly released an application called PLATIPUS (Publication Literature Analysis and Text Interaction Platform for User Studies) that allows researchers to interact with literature supplied by COVIDScholar via a visual analytics platform. This tool contains standard filtering capabilities based on authors, journals, high-level categories, and various research-specific details via natural language processing and dozens of customizable visualizations that dynamically update from a researcher's query.ResultsPLATIPUS is available online and currently links to over 100,000 publications and is still growing. This application has the potential to transform how COVID-19 researchers use public literature to enable their research.ConclusionsThe PLATIPUS application provides the end user with a variety of ways to search, filter, and visualize over 100,00 COVID-19 publications.

Published
2021

15. A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases.

Author

Kyle, Jennifer E, Stratton, Kelly G, Zink, Erika M, Kim, Young-Mo, Bloodsworth, Kent J, Monroe, Matthew E, Undiagnosed Diseases Network, Waters, Katrina M, Webb-Robertson, Bobbie-Jo M, Koeller, David M, and Metz, Thomas O

Subjects
Undiagnosed Diseases Network, Humans, Metabolic Diseases, Adolescent, Adult, Middle Aged, Child, Child, Preschool, Infant, Infant, Newborn, Female, Male, Mass Spectrometry, Metabolomics, Young Adult, Datasets as Topic, Undiagnosed Diseases, Lipidomics, Clinical Research, Metabolic and endocrine
Abstract

Every year individuals experience symptoms that remain undiagnosed by healthcare providers. In the United States, these rare diseases are defined as a condition that affects fewer than 200,000 individuals. However, there are an estimated 7000 rare diseases, and there are an estimated 25-30 million Americans in total (7.6-9.2% of the population as of 2018) affected by such disorders. The NIH Common Fund Undiagnosed Diseases Network (UDN) seeks to provide diagnoses for individuals with undiagnosed disease. Mass spectrometry-based metabolomics and lipidomics analyses could advance the collective understanding of individual symptoms and advance diagnoses for individuals with heretofore undiagnosed disease. Here, we report the mass spectrometry-based metabolomics and lipidomics analyses of blood plasma, urine, and cerebrospinal fluid from 148 patients within the UDN and their families, as well as from a reference population of over 100 individuals with no known metabolic diseases. The raw and processed data are available to the research community so that they might be useful in the diagnoses of current or future patients suffering from undiagnosed disorders.

Published
2021

16. Inhibition of polyamine biosynthesis preserves β cell function in type 1 diabetes

Author

Sims, Emily K., Kulkarni, Abhishek, Hull, Audrey, Woerner, Stephanie E., Cabrera, Susanne, Mastrandrea, Lucy D., Hammoud, Batoul, Sarkar, Soumyadeep, Nakayasu, Ernesto S., Mastracci, Teresa L., Perkins, Susan M., Ouyang, Fangqian, Webb-Robertson, Bobbie-Jo, Enriquez, Jacob R., Tersey, Sarah A., Evans-Molina, Carmella, Long, S. Alice, Blanchfield, Lori, Gerner, Eugene W., Mirmira, Raghavendra G., and DiMeglio, Linda A.

Published
2023
Full Text
View/download PDF

17. Identification of a specific exporter that enables high production of aconitic acid in Aspergillus pseudoterreus

Author

Deng, Shuang, Kim, Joonhoon, Pomraning, Kyle R., Gao, Yuqian, Evans, James E., Hofstad, Beth A., Dai, Ziyu, Webb-Robertson, Bobbie-Jo, Powell, Samantha M., Novikova, Irina V., Munoz, Nathalie, Kim, Young-Mo, Swita, Marie, Robles, Ana L., Lemmon, Teresa, Duong, Rylan D., Nicora, Carrie, Burnum-Johnson, Kristin E., and Magnuson, Jon

Published
2023
Full Text
View/download PDF

18. Integration of Proteomics and Metabolomics Into the Design, Build, Test, Learn Cycle to Improve 3-Hydroxypropionic Acid Production in Aspergillus pseudoterreus.

Author

Pomraning, Kyle R, Dai, Ziyu, Munoz, Nathalie, Kim, Young-Mo, Gao, Yuqian, Deng, Shuang, Kim, Joonhoon, Hofstad, Beth A, Swita, Marie S, Lemmon, Teresa, Collett, James R, Panisko, Ellen A, Webb-Robertson, Bobbie-Jo M, Zucker, Jeremy D, Nicora, Carrie D, De Paoli, Henrique, Baker, Scott E, Burnum-Johnson, Kristin E, Hillson, Nathan J, and Magnuson, Jon K

Subjects
3-hydroxypropionic acid, 3HP, Agile BioFoundry, Aspergillus pseudoterreus, beta-alanine pathway, Other Biological Sciences, Biomedical Engineering, Medical Biotechnology
Abstract

Biological engineering of microorganisms to produce value-added chemicals is a promising route to sustainable manufacturing. However, overproduction of metabolic intermediates at high titer, rate, and yield from inexpensive substrates is challenging in non-model systems where limited information is available regarding metabolic flux and its control in production conditions. Integrated multi-omic analyses of engineered strains offers an in-depth look at metabolites and proteins directly involved in growth and production of target and non-target bioproducts. Here we applied multi-omic analyses to overproduction of the polymer precursor 3-hydroxypropionic acid (3HP) in the filamentous fungus Aspergillus pseudoterreus. A synthetic pathway consisting of aspartate decarboxylase, beta-alanine pyruvate transaminase, and 3HP dehydrogenase was designed and built for A. pseudoterreus. Strains with single- and multi-copy integration events were isolated and multi-omics analysis consisting of intracellular and extracellular metabolomics and targeted and global proteomics was used to interrogate the strains in shake-flask and bioreactor conditions. Production of a variety of co-products (organic acids and glycerol) and oxidative degradation of 3HP were identified as metabolic pathways competing with 3HP production. Intracellular accumulation of nitrogen as 2,4-diaminobutanoate was identified as an off-target nitrogen sink that may also limit flux through the engineered 3HP pathway. Elimination of the high-expression oxidative 3HP degradation pathway by deletion of a putative malonate semialdehyde dehydrogenase improved the yield of 3HP by 3.4 × after 10 days in shake-flask culture. This is the first report of 3HP production in a filamentous fungus amenable to industrial scale biomanufacturing of organic acids at high titer and low pH.

Published
2021

19. Plasma protein biomarkers predict the development of persistent autoantibodies and type 1 diabetes 6 months prior to the onset of autoimmunity

Author

Nakayasu, Ernesto S., Bramer, Lisa M., Ansong, Charles, Schepmoes, Athena A., Fillmore, Thomas L., Gritsenko, Marina A., Clauss, Therese R., Gao, Yuqian, Piehowski, Paul D., Stanfill, Bryan A., Engel, Dave W., Orton, Daniel J., Moore, Ronald J., Qian, Wei-Jun, Sechi, Salvatore, Frohnert, Brigitte I., Toppari, Jorma, Ziegler, Anette-G., Lernmark, Åke, Hagopian, William, Akolkar, Beena, Smith, Richard D., Rewers, Marian J., Webb-Robertson, Bobbie-Jo M., and Metz, Thomas O.

Published
2023
Full Text
View/download PDF

20. Associations between SARS-CoV-2 Infection or COVID-19 Vaccination and Human Milk Composition: A Multi-Omics Approach

Author

Couvillion, Sneha P, primary, Nakayasu, Ernesto S, additional, Webb-Robertson, Bobbie-Jo, additional, Yang, Isabella, additional, Eder, Josie, additional, Nicora, Carrie D, additional, Bramer, Lisa M, additional, Gao, Yuqian, additional, Fox, Alisa, additional, DeCarlo, Claire, additional, Yang, Xiaoqi, additional, Zhou, Mowei, additional, Pace, Ryan M, additional, Williams, Janet E, additional, McGuire, Mark A, additional, McGuire, Michelle, additional, Metz, Thomas, additional, and Powell, Rebecca L.R., additional

Published
2024
Full Text
View/download PDF

22. Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images

Author

Oostrom, Marjolein, primary, Muniak, Michael A., additional, Eichler West, Rogene M., additional, Akers, Sarah, additional, Pande, Paritosh, additional, Obiri, Moses, additional, Wang, Wei, additional, Bowyer, Kasey, additional, Wu, Zhuhao, additional, Bramer, Lisa M., additional, Mao, Tianyi, additional, and Webb-Robertson, Bobbie Jo M., additional

Published
2024
Full Text
View/download PDF

26. The Cancer Microbiome: Distinguishing Direct and Indirect Effects Requires a Systemic View

Author

Xavier, Joao B., Young, Vincent B., Skufca, Joseph, Ginty, Fiona, Testerman, Traci, Pearson, Alexander T., Macklin, Paul, Mitchell, Amir, Shmulevich, Ilya, Xie, Lei, Caporaso, J. Gregory, Crandall, Keith A., Simone, Nicole L., Godoy-Vitorino, Filipa, Griffin, Timothy J., Whiteson, Katrine L., Gustafson, Heather H., Slade, Daniel J., Schmidt, Thomas M., Walther-Antonio, Marina R.S., Korem, Tal, Webb-Robertson, Bobbie-Jo M., Styczynski, Mark P., Johnson, W. Evan, Jobin, Christian, Ridlon, Jason M., Koh, Andrew Y., Yu, Michael, Kelly, Libusha, and Wargo, Jennifer A.

Published
2020
Full Text
View/download PDF

28. Partial Loss of USP9X Function Leads to a Male Neurodevelopmental and Behavioral Disorder Converging on Transforming Growth Factor β Signaling

Author

Pena, Loren, Shashi, Vandana, Schoch, Kelly, Sullivan, Jennifer A., Acosta, Maria T., Adams, David R., Aday, Aaron, Alejandro, Mercedes E., Allard, Patrick, Ashley, Euan A., Azamian, Mahshid S., Bacino, Carlos A., Bademci, Guney, Baker, Eva, Balasubramanyam, Ashok, Baldridge, Dustin, Barbouth, Deborah, Batzli, Gabriel F., Beggs, Alan H., Bellen, Hugo J., Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bick, David P., Birch, Camille L., Bivona, Stephanie, Bonnenmann, Carsten, Bonner, Devon, Boone, Braden E., Bostwick, Bret L., Briere, Lauren C., Brokamp, Elly, Brown, Donna M., Brush, Matthew, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Carrasquillo, Olveen, Peter Chang, Ta Chen, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Cope, Heidi, Craigen, William J., D'Souza, Precilla, Dasari, Surendra, Davids, Mariska, Davidson, Jean M., Dayal, Jyoti G., Dell'Angelica, Esteban C., Dhar, Shweta U., Dorrani, Naghmeh, Dorset, Daniel C., Douine, Emilie D., Draper, David D., Dries, Annika M., Duncan, Laura, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Enns, Gregory M., Esteves, Cecilia, Estwick, Tyra, Fernandez, Liliana, Ferreira, Carlos, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Friedman, Noah D., Gahl, William A., Godfrey, Rena A., Goldman, Alica M., Goldstein, David B., Gourdine, Jean-Philippe F., Grajewski, Alana, Groden, Catherine A., Gropman, Andrea L., Haendel, Melissa, Hamid, Rizwan, Hanchard, Neil A., High, Frances, Holm, Ingrid A., Hom, Jason, Huang, Alden, Huang, Yong, Isasi, Rosario, Jamal, Fariha, Jiang, Yong-hui, Johnston, Jean M., Jones, Angela L., Karaviti, Lefkothea, Kelley, Emily G., Koeller, David M., Kohane, Isaac S., Kohler, Jennefer N., Krakow, Deborah, Krasnewich, Donna M., Korrick, Susan, Koziura, Mary, Krier, Joel B., Kyle, Jennifer E., Lalani, Seema R., Lam, Byron, Lanpher, Brendan C., Lanza, Ian R., Lau, C. Christopher, Lazar, Jozef, LeBlanc, Kimberly, Lee, Brendan H., Lee, Hane, Levitt, Roy, Levy, Shawn E., Lewis, Richard A., Lincoln, Sharyn A., Liu, Pengfei, Liu, Xue Zhong, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Majcherska, Marta M., Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Markello, Thomas C., Marom, Ronit, Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, May, Thomas, McCauley, Jacob, McConkie-Rosell, Allyn, McCormack, Colleen E., McCray, Alexa T., Merker, Jason D., Metz, Thomas O., Might, Matthew, Morava-Kozicz, Eva, Moretti, Paolo M., Morimoto, Marie, Mulvihill, John J., Murdock, David R., Nath, Avi, Nelson, Stan F., Newberry, J. Scott, Newman, John H., Nicholas, Sarah K., Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pak, Stephen, Pallais, J. Carl, Palmer, Christina GS., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Postlethwait, John H., Potocki, Lorraine, Pusey, Barbara N., Renteri, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rowley, Robb K., Sacco, Ralph, Sampson, Jacinda B., Samson, Susan L., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Scott, Daryl A., Shakachite, Lisa, Sharma, Prashant, Shields, Kathleen, Shin, Jimann, Signer, Rebecca, Sillari, Catherine H., Silverman, Edwin K., Sinsheimer, Janet S., Smith, Kevin S., Solnica-Krezel, Lilianna, Spillmann, Rebecca C., Stoler, Joan M., Stong, Nicholas, Sweetser, David A., Tamburro, Cecelia P., Tan, Queenie K.-G., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Urv, Tiina K., Vogel, Tiphanie P., Waggott, Daryl M., Wahl, Colleen E., Walley, Nicole M., Walsh, Chris A., Walker, Melissa, Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Waters, Katrina M., Webb-Robertson, Bobbie-Jo M., Wegner, Daniel, Westerfield, Monte, Wheeler, Matthew T., Wise, Anastasia L., Wolfe, Lynne A., Woods, Jeremy D., Worthey, Elizabeth A., Yamamoto, Shinya, Yang, John, Yoon, Amanda J., Yu, Guoyun, Zastrow, Diane B., Zhao, Chunli, Zuchner, Stephan, Gahl, William, Johnson, Brett V., Kumar, Raman, Oishi, Sabrina, Alexander, Suzy, Kasherman, Maria, Vega, Michelle Sanchez, Ivancevic, Atma, Gardner, Alison, Domingo, Deepti, Corbett, Mark, Parnell, Euan, Yoon, Sehyoun, Oh, Tracey, Lines, Matthew, Lefroy, Henrietta, Kini, Usha, Van Allen, Margot, Grønborg, Sabine, Mercier, Sandra, Küry, Sébastien, Bézieau, Stéphane, Pasquier, Laurent, Raynaud, Martine, Afenjar, Alexandra, Billette de Villemeur, Thierry, Keren, Boris, Désir, Julie, Van Maldergem, Lionel, Marangoni, Martina, Dikow, Nicola, Koolen, David A., VanHasselt, Peter M., Weiss, Marjan, Zwijnenburg, Petra, Sa, Joaquim, Reis, Claudia Falcao, López-Otín, Carlos, Santiago-Fernández, Olaya, Fernández-Jaén, Alberto, Rauch, Anita, Steindl, Katharina, Joset, Pascal, Goldstein, Amy, Madan-Khetarpal, Suneeta, Infante, Elena, Zackai, Elaine, Mcdougall, Carey, Narayanan, Vinodh, Ramsey, Keri, Mercimek-Andrews, Saadet, Pinto e Vairo, Filippo, Pichurin, Pavel N., Ewing, Sarah A., Barnett, Sarah S., Klee, Eric W., Perry, M. Scott, Koenig, Mary Kay, Keegan, Catherine E., Schuette, Jane L., Asher, Stephanie, Perilla-Young, Yezmin, Smith, Laurie D., Bhoj, Elizabeth, Kaplan, Paige, Li, Dong, Oegema, Renske, van Binsbergen, Ellen, van der Zwaag, Bert, Smeland, Marie Falkenberg, Cutcutache, Ioana, Page, Matthew, Armstrong, Martin, Lin, Angela E., Steeves, Marcie A., Hollander, Nicolette den, Hoffer, Mariëtte J.V., Reijnders, Margot R.F., Demirdas, Serwet, Koboldt, Daniel C., Bartholomew, Dennis, Mosher, Theresa Mihalic, Hickey, Scott E., Shieh, Christine, Sanchez-Lara, Pedro A., Graham, John M., Jr., Tezcan, Kamer, Schaefer, G.B., Danylchuk, Noelle R., Asamoah, Alexander, Jackson, Kelly E., Yachelevich, Naomi, Au, Margaret, Pérez-Jurado, Luis A., Kleefstra, Tjitske, Penzes, Peter, Wood, Stephen A., Burne, Thomas, Pierson, Tyler Mark, Piper, Michael, Gécz, Jozef, and Jolly, Lachlan A.

Published
2020
Full Text
View/download PDF

29. Mining the human urine proteome for monitoring renal transplant injury

Author

Sigdel, Tara K, Gao, Yuqian, He, Jintang, Wang, Anyou, Nicora, Carrie D, Fillmore, Thomas L, Shi, Tujin, Webb-Robertson, Bobbie-Jo, Smith, Richard D, Qian, Wei-Jun, Salvatierra, Oscar, Camp, David G, and Sarwal, Minnie M

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Urologic Diseases, Clinical Research, Transplantation, Biotechnology, Kidney Disease, Organ Transplantation, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, Renal and urogenital, Adolescent, Adult, Allografts, BK Virus, Biomarkers, Biopsy, Child, Chromatography, Liquid, Female, Graft Rejection, Humans, Kidney, Kidney Transplantation, Male, Mass Spectrometry, Nephritis, Proteomics, Urinalysis, Young Adult, acute rejection, kidney transplantation injury, noninvasive biomarkers, protein biomarkers, urine proteomics, Urology & Nephrology, Clinical sciences
Abstract

The human urinary proteome provides an assessment of kidney injury with specific biomarkers for different kidney injury phenotypes. In an effort to fully map and decipher changes in the urine proteome and peptidome after kidney transplantation, renal allograft biopsy matched urine samples were collected from 396 kidney transplant recipients. Centralized and blinded histology data from paired graft biopsies was used to classify urine samples into diagnostic categories of acute rejection, chronic allograft nephropathy, BK virus nephritis, and stable graft. A total of 245 urine samples were analyzed by liquid chromatography-mass spectrometry using isobaric Tags for Relative and Absolute Quantitation (iTRAQ) reagents. From a group of over 900 proteins identified in transplant injury, a set of 131 peptides were assessed by selected reaction monitoring for their significance in accurately segregating organ injury causation and pathology in an independent cohort of 151 urine samples. Ultimately, a minimal set of 35 proteins were identified for their ability to segregate the 3 major transplant injury clinical groups, comprising the final panel of 11 urinary peptides for acute rejection (93% area under the curve [AUC]), 12 urinary peptides for chronic allograft nephropathy (99% AUC), and 12 urinary peptides for BK virus nephritis (83% AUC). Thus, urinary proteome discovery and targeted validation can identify urine protein panels for rapid and noninvasive differentiation of different causes of kidney transplant injury, without the requirement of an invasive biopsy.

Published
2016

30. Integrated Omics Analysis of Pathogenic Host Responses during Pandemic H1N1 Influenza Virus Infection: The Crucial Role of Lipid Metabolism

Author

Tisoncik-Go, Jennifer, Gasper, David J, Kyle, Jennifer E, Eisfeld, Amie J, Selinger, Christian, Hatta, Masato, Morrison, Juliet, Korth, Marcus J, Zink, Erika M, Kim, Young-Mo, Schepmoes, Athena A, Nicora, Carrie D, Purvine, Samuel O, Weitz, Karl K, Peng, Xinxia, Green, Richard R, Tilton, Susan C, Webb-Robertson, Bobbie-Jo, Waters, Katrina M, Metz, Thomas O, Smith, Richard D, Kawaoka, Yoshihiro, Suresh, M, Josset, Laurence, and Katze, Michael G

Subjects
Medical Microbiology, Biomedical and Clinical Sciences, Clinical Sciences, Biological Sciences, Biodefense, Prevention, Influenza, Infectious Diseases, Pneumonia & Influenza, Vaccine Related, Lung, Emerging Infectious Diseases, 2.1 Biological and endogenous factors, 2.2 Factors relating to the physical environment, Aetiology, Infection, Animals, Disease Models, Animal, Ferrets, Gene Expression, Host-Pathogen Interactions, Humans, Influenza A Virus, H1N1 Subtype, Influenza, Human, Lipid Metabolism, Lipids, Metabolomics, Microbiology, Immunology, Biochemistry and cell biology, Medical microbiology
Abstract

Pandemic influenza viruses modulate proinflammatory responses that can lead to immunopathogenesis. We present an extensive and systematic profiling of lipids, metabolites, and proteins in respiratory compartments of ferrets infected with either 1918 or 2009 human pandemic H1N1 influenza viruses. Integrative analysis of high-throughput omics data with virologic and histopathologic data uncovered relationships between host responses and phenotypic outcomes of viral infection. Proinflammatory lipid precursors in the trachea following 1918 infection correlated with severe tracheal lesions. Using an algorithm to infer cell quantity changes from gene expression data, we found enrichment of distinct T cell subpopulations in the trachea. There was also a predicted increase in inflammatory monocytes in the lung of 1918 virus-infected animals that was sustained throughout infection. This study presents a unique resource to the influenza research community and demonstrates the utility of an integrative systems approach for characterization of lipid metabolism alterations underlying respiratory responses to viruses.

Published
2016

32. Decrease in multiple complement proteins associated with development of islet autoimmunity and type 1 diabetes

Author

M Webb-Robertson, Bobbie-Jo, primary, Nakayasu, Ernesto S., additional, Dong, Fran, additional, Waugh, Kathy C., additional, Flores, Javier, additional, Bramer, Lisa M., additional, Schepmoes, Athena, additional, Gao, Yuqian, additional, Fillmore, Thomas, additional, Onengut-Gumuscu, Suna, additional, Frazer-Abel, Ashley, additional, Rich, Stephen S., additional, Holers, V. Michael, additional, Metz, Thomas O., additional, and Rewers, Marian J., additional

Published
2023
Full Text
View/download PDF

33. Protection of beta cells against pro-inflammatory cytokine stress by the GDF15-ERBB2 signaling

Author

Sarkar, Soumyadeep, primary, Syed, Farooq, additional, Webb-Robertson, Bobbie-Jo, additional, Melchior, John T., additional, Chang, Carrick, additional, Gritsenko, Marina, additional, Wang, Yi-Ting, additional, Tsai, Chia-Feng, additional, Liu, Jing, additional, Yi, Xiaoyan, additional, Cui, Yi, additional, Eizirik, Decio L., additional, Metz, Thomas O., additional, Rewers, Marian, additional, Evans-Molina, Carmella, additional, Mirmira, Raghavendra G., additional, and Nakayasu, Ernesto S., additional

Published
2023
Full Text
View/download PDF

34. Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images

Author

Oostrom, Marjolein, primary, Muniak, Michael, additional, Eichler West, Rogene M, additional, Akers, Sarah, additional, Pande, Paritosh, additional, Obiri, Moses, additional, Wang, Wei, additional, Bowyer, Kasey, additional, Wu, Zhuhao, additional, Bramer, Lisa M, additional, Mao, Tianyi, additional, and Webb-Robertson, Bobbie-Jo M, additional

Published
2023
Full Text
View/download PDF

36. Suppression of the Integrated Stress Response in Islet β Cells Decreases Risk of Autoimmune Diabetes

Author

Muralidharan, Charanya, primary, Huang, Fei, additional, Enriquez, Jacob R, additional, Wang, Jiayi E, additional, Nelson, Jennifer B, additional, Nargis, Titli, additional, May, Sarah C, additional, Chakraborty, Advaita, additional, Figatner, Kayla T, additional, Navitskaya, Svetalana, additional, Anderson, Cara M, additional, Calvo, Veronica, additional, Surguladze, David, additional, Mulvihill, Mark J, additional, Yi, Xiaoyan, additional, Sarkar, Soumyadeep, additional, Oakes, Scott A, additional, Webb-Robertson, Bobbie-Jo M, additional, Eizirik, Decio L, additional, Nakayasu, Ernesto S, additional, Stokes, Michael E, additional, Tersey, Sarah A, additional, and Mirmira, Raghavendra G, additional

Published
2023
Full Text
View/download PDF

37. THU277 Deletion Or inhibition Of Ornithine Decarboxylase Protects Islet β-cell Health And Is Associated With Preserved Residual C-peptide In Persons With Recent Onset Type 1 Diabetes

Author

Hammoud, Batoul, primary, DiMeglio, Linda A, additional, Kulkarni, Abishek, additional, Hull, Audrey, additional, Woerner, Stephanie, additional, Cabrera, Susanne, additional, Mastrandrea, Lucy D, additional, Ouyang, Fangian, additional, Perkins, Susan N, additional, Evans-Molina, Carmella, additional, Mastracci, Teresa L, additional, Tersey, Sarah A, additional, Sarkar, Soumyaddep, additional, Nakayasu, Ernesto, additional, Webb-Robertson, Bobbie-Jo, additional, Gerner, Eugene, additional, Mirmira, Raghavendra G, additional, and Sims, Emily K, additional

Published
2023
Full Text
View/download PDF

39. Circulating Unmethylated CHTOP and INS DNA Fragments Provide Evidence of Possible Islet Cell Death in Youth with Obesity and Diabetes

Author

Syed, Farooq, primary, Tersey, Sarah A., primary, Turatsinze, Jean-Valery, primary, Felton, Jamie L, primary, Nelson, Jennifer B, primary, Sims, Emily K, primary, Defrance, Mathieu, primary, Bizet, Martin, primary, Fuks, Francois, primary, Cnop, Miriam, primary, Bugliani, Marco, primary, Marchetti, Piero, primary, Ziegler, Anette-Gabriele, primary, Bonifacio, Ezio, primary, Webb-Robertson, Bobbie-Jo, primary, Balamurugan, Appakalai N, primary, Evans-Molina, Carmella, primary, Eizirik, Decio L, primary, Mather, Kieren J, primary, Arslanian, Silva, primary, and Mirmira, Raghavendra G, primary

Published
2021
Full Text
View/download PDF

41. The impact of proinflammatory cytokines on the β-cell regulatory landscape provides insights into the genetics of type 1 diabetes

Author

Ramos-Rodríguez, Mireia, Raurell-Vila, Helena, Colli, Maikel L., Alvelos, Maria Inês, Subirana-Granés, Marc, Juan-Mateu, Jonàs, Norris, Richard, Turatsinze, Jean-Valery, Nakayasu, Ernesto S., Webb-Robertson, Bobbie-Jo M., Inshaw, Jamie R. J., Marchetti, Piero, Piemonti, Lorenzo, Esteller, Manel, Todd, John A., Metz, Thomas O., Eizirik, Décio L., and Pasquali, Lorenzo

Published
2019
Full Text
View/download PDF

43. Genetic variants in the complement system and their potential link in the aetiology of type 1 diabetes.

Author

Onengut‐Gumuscu, Suna, Webb‐Robertson, Bobbie‐Jo M., Sarkar, Soumyadeep, Manichaikul, Ani, Hu, Xiaowei, Frazer‐Abel, Ashley, Holers, V. Michael, Rewers, Marian J., and Rich, Stephen S.

Subjects
TYPE 1 diabetes, COMPLEMENT activation, GENETIC variation, PANCREATIC beta cells, ETIOLOGY of diseases, AUTOIMMUNE diseases
Abstract

Type 1 diabetes is an autoimmune disease in which one's own immune system destroys insulin‐secreting beta cells in the pancreas. This process results in life‐long dependence on exogenous insulin for survival. Both genetic and environmental factors play a role in disease initiation, progression, and ultimate clinical diagnosis of type 1 diabetes. This review will provide background on the natural history of type 1 diabetes and the role of genetic factors involved in the complement system, as several recent studies have identified changes in levels of these proteins as the disease evolves from pre‐clinical through to clinically apparent disease. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

45. Regulation of β-cell death by ADP-ribosylhydrolase ARH3 via lipid signaling in insulitis

Author

Sarkar, Soumyadeep, primary, Deiter, Cailin, additional, Kyle, Jennifer E., additional, Guney, Michelle A., additional, Sarbaugh, Dylan, additional, Yin, Ruichuan, additional, Li, Xiangtang, additional, Cui, Yi, additional, Ramos-Rodriguez, Mireia, additional, Nicora, Carrie D., additional, Syed, Farooq, additional, Juan-Mateu, Jonas, additional, Muralidharan, Charanya, additional, Pasquali, Lorenzo, additional, Evans-Molina, Carmella, additional, Eizirik, Decio L., additional, Webb-Robertson, Bobbie-Jo M., additional, Burnum-Johnson, Kristin, additional, Orr, Galya, additional, Laskin, Julia, additional, Metz, Thomas O., additional, Mirmira, Raghavendra G., additional, Sussel, Lori, additional, Ansong, Charles, additional, and Nakayasu, Ernesto, additional

Published
2023
Full Text
View/download PDF

47. Engineering transcriptional regulation of pentose metabolism in Rhodosporidium toruloides for improved conversion of xylose to bioproducts

Author

Coradetti, Samuel T., primary, Adamczyk, Paul A., additional, Liu, Di, additional, Gao, Yuqian, additional, Otoupal, Peter B., additional, Geiselman, Gina M., additional, Webb-Robertson, Bobbie-Jo M., additional, Burnet, Meagan C., additional, Kim, Young-Mo, additional, Burnum-Johnson, Kristin E., additional, Magnuson, Jon, additional, and Gladden, John M., additional

Published
2023
Full Text
View/download PDF

48. Decrease in multiple complement protein levels is associated with the development of islet autoimmunity and type 1 diabetes

Author

Webb-Robertson, Bobbie-Jo M, primary, Nakayasu, Ernesto S, additional, Dong, Fran, additional, Waugh, Kathy C, additional, Flores, Javier, additional, Bramer, Lisa M, additional, Schepmoes, Athena, additional, Gao, Yuqian, additional, Fillmore, Thomas, additional, Onengut-Gumuscu, Suna, additional, Frazer-Abel, Ashley, additional, Rich, Stephen S, additional, Holers, V. Michael, additional, Metz, Thomas O, additional, and Rewers, Marian J, additional

Published
2023
Full Text
View/download PDF

49. MERS-CoV and H5N1 influenza virus antagonize antigen presentation by altering the epigenetic landscape

Author

Menachery, Vineet D., Schäfer, Alexandra, Burnum-Johnson, Kristin E., Mitchell, Hugh D., Eisfeld, Amie J., Walters, Kevin B., Nicora, Carrie D., Purvine, Samuel O., Casey, Cameron P., Monroe, Matthew E., Weitz, Karl K., Stratton, Kelly G., Webb-Robertson, Bobbie-Jo M., Gralinski, Lisa E., Metz, Thomas O., Smith, Richard D., Waters, Katrina M., Sims, Amy C., Kawaoka, Yoshihiro, and Baric, Ralph S.

Published
2018

50. Bayesian Posterior Integration for Classification of Mass Spectrometry Data

Author

Webb-Robertson, Bobbie-Jo M., Metz, Thomas O., Waters, Katrina M., Zhang, Qibin, Rewers, Marian, Datta, Somnath, Editor-in-chief, Viens, Frederi G., Series editor, Politis, Dimitris N., Series editor, Fokianos, Konstantinos, Series editor, Daniels, Michael, Series editor, Datta, Susmita, editor, and Mertens, Bart J. A., editor

Published
2017
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results