237 results on '"Auslander, Noam"'
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2. Microbial gene expression analysis of healthy and cancerous esophagus uncovers bacterial biomarkers of clinical outcomes
3. Author Correction: Mutated processes predict immune checkpoint inhibitor therapy benefit in metastatic melanoma
4. A deep learning approach reveals unexplored landscape of viral expression in cancer
5. Gene-expression profiles of pretreatment biopsies predict complete response of rectal cancer patients to preoperative chemoradiotherapy
6. Mutated processes predict immune checkpoint inhibitor therapy benefit in metastatic melanoma
7. Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses
8. In silico learning of tumor evolution through mutational time series
9. Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies
10. IDENTIFICATION OF GENERALIZABLE GENE EXPRESSION BIOMARKERS ASSOCIATED WITH DRUG RESPOSE IN CELL LINES AND PATIENTS
11. Reply to: ‘IMPRES does not reproducibly predict response to immune checkpoint blockade therapy in metastatic melanoma’
12. The GENDULF algorithm: mining transcriptomics to uncover modifier genes for monogenic diseases
13. Prediction of the incubation period for COVID-19 and future virus disease outbreaks
14. kMermaid: Ultrafast functional classification of microbial reads
15. Data from An African-Specific Variant of TP53 Reveals PADI4 as a Regulator of p53-Mediated Tumor Suppression
16. Table S3 from An African-Specific Variant of TP53 Reveals PADI4 as a Regulator of p53-Mediated Tumor Suppression
17. Supplementary Figures S1-S8 from An African-Specific Variant of TP53 Reveals PADI4 as a Regulator of p53-Mediated Tumor Suppression
18. Interplay between DNA damage repair and apoptosis shapes cancer evolution through aneuploidy and microsatellite instability
19. Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma
20. An African-Specific Variant of TP53 Reveals PADI4 as a Regulator of p53-Mediated Tumor Suppression
21. Figure S1 from Chemoradiotherapy Resistance in Colorectal Cancer Cells is Mediated by Wnt/β-catenin Signaling
22. Table S3 from Chemoradiotherapy Resistance in Colorectal Cancer Cells is Mediated by Wnt/β-catenin Signaling
23. Data from Chemoradiotherapy Resistance in Colorectal Cancer Cells is Mediated by Wnt/β-catenin Signaling
24. Supplementary Figure and Table Legends from Chemoradiotherapy Resistance in Colorectal Cancer Cells is Mediated by Wnt/β-catenin Signaling
25. Supplementary Text from Single-Cell–Derived Primary Rectal Carcinoma Cell Lines Reflect Intratumor Heterogeneity Associated with Treatment Response
26. Figure S7 from Single-Cell–Derived Primary Rectal Carcinoma Cell Lines Reflect Intratumor Heterogeneity Associated with Treatment Response
27. Supplementary Materials and Methods from Pyrvinium Pamoate Induces Death of Triple-Negative Breast Cancer Stem–Like Cells and Reduces Metastases through Effects on Lipid Anabolism
28. Data from Single-Cell–Derived Primary Rectal Carcinoma Cell Lines Reflect Intratumor Heterogeneity Associated with Treatment Response
29. Supplementary Data from Pyrvinium Pamoate Induces Death of Triple-Negative Breast Cancer Stem–Like Cells and Reduces Metastases through Effects on Lipid Anabolism
30. Data from Pyrvinium Pamoate Induces Death of Triple-Negative Breast Cancer Stem–Like Cells and Reduces Metastases through Effects on Lipid Anabolism
31. Supplementary Tables and Figures from Pyrvinium Pamoate Induces Death of Triple-Negative Breast Cancer Stem–Like Cells and Reduces Metastases through Effects on Lipid Anabolism
32. Computational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications
33. Functional Genomic Complexity Defines Intratumor Heterogeneity and Tumor Aggressiveness in Liver Cancer
34. Unstable EBV latency drives inflammation in multiple sclerosis patient derived spontaneous B cells
35. Characterizing The Landscape Of Viral Expression In Cancer By Deep Learning
36. Abstract C023: A microbiome-produced metabolite drives immunostimulatory macrophages and boosts response to immune checkpoint inhibitors in pancreatic cancer
37. 1307 The microbiome-derived metabolite TMAO drives immune activation and boosts response to immune checkpoint blockade in pancreatic cancer
38. The microbiome-derived metabolite TMAO drives immune activation and boosts responses to immune checkpoint blockade in pancreatic cancer
39. Mutated Processes Predict Immune Checkpoint Inhibitor Therapy Benefit in Metastatic Melanoma
40. An integrated computational and experimental study uncovers FUT9 as a metabolic driver of colorectal cancer
41. A deep learning approach reveals unexplored landscape of viral expression in cancer
42. Publisher Correction: Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma
43. Mutated Processes Predict Immune Checkpoint Inhibitor Therapy Benefit in Metastatic Melanoma
44. Incorporating Machine Learning Into Bioinformatics Frameworks
45. Additional file 9 of Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies
46. Additional file 5 of Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies
47. Additional file 10 of Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies
48. Molecular landscape and clinical outcomes of ARID1A mutant ovarian and endometrial cancers (2276)
49. Identification of combinations of somatic mutations that predict cancer survival and immunotherapy benefit
50. Incorporating Machine Learning into Established Bioinformatics Frameworks
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