489 results on '"Davis, Melissa J."'
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2. vissE: a versatile tool to identify and visualise higher-order molecular phenotypes from functional enrichment analysis
3. IKAROS and AIOLOS directly regulate AP-1 transcriptional complexes and are essential for NK cell development
4. Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT
5. Spatial omics techniques and data analysis for cancer immunotherapy applications
6. Spatial transcriptomic analysis of Sonic hedgehog medulloblastoma identifies that the loss of heterogeneity and promotion of differentiation underlies the response to CDK4/6 inhibition
7. Discovery of a highly potent, selective, orally bioavailable inhibitor of KAT6A/B histone acetyltransferases with efficacy against KAT6A-high ER+ breast cancer
8. Implementation of DNA Methylation Array Profiling in Pediatric Central Nervous System Tumors: The AIM BRAIN Project: An Australian and New Zealand Children's Haematology/Oncology Group Study
9. MsImpute: Estimation of Missing Peptide Intensity Data in Label-Free Quantitative Mass Spectrometry
10. SFPQ-ABL1 and BCR-ABL1 use different signaling networks to drive B-cell acute lymphoblastic leukemia
11. Loss of TAF8 causes TFIID dysfunction and p53-mediated apoptotic neuronal cell death
12. Blockade of the co-inhibitory molecule PD-1 unleashes ILC2-dependent antitumor immunity in melanoma
13. Functional divergence of the two Elongator subcomplexes during neurodevelopment
14. Harnessing Natural Killer Immunity in Metastatic SCLC
15. The EMT modulator SNAI1 contributes to AML pathogenesis via its interaction with LSD1
16. Cotargeting BCL-2 and MCL-1 in high-risk B-ALL
17. hoodscanR: profiling single-cell neighborhoods in spatial transcriptomics data
18. ERG and c-MYC regulate a critical gene network in BCR::ABL1-driven B cell acute lymphoblastic leukemia
19. In situ single-cell profiling sheds light on IFI27 localisation during SARS-CoV-2 infection
20. Dissection of the bone marrow microenvironment in hairy cell leukaemia identifies prognostic tumour and immune related biomarkers
21. Systems pharmacogenomics identifies novel targets and clinically actionable therapeutics for medulloblastoma
22. Elp2 mutations perturb the epitranscriptome and lead to a complex neurodevelopmental phenotype
23. PRMT1-mediated H4R3me2a recruits SMARCA4 to promote colorectal cancer progression by enhancing EGFR signaling
24. Correction to: PRMT1-mediated H4R3me2a recruits SMARCA4 to promote colorectal cancer progression by enhancing EGFR signaling
25. Supervised, semi-supervised and unsupervised inference of gene regulatory networks
26. Combinatorial Targeting by MicroRNAs Co-ordinates Post-transcriptional Control of EMT
27. standR: spatial transcriptomic analysis for GeoMx DSP data
28. Spatial proteomics identifies a spectrum of immune dysregulation in acquired bone marrow failure syndromes
29. Identification of cell types, states and programs by learning gene set representations
30. Single‐cell RNA sequencing captures patient‐level heterogeneity and associated molecular phenotypes in breast cancer pleural effusions
31. An Erg-driven transcriptional program controls B cell lymphopoiesis
32. Basonuclin-2 regulates extracellular matrix production and degradation
33. Differential co-expression-based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer
34. Integrative Analysis of Somatic Mutations in Non-coding Regions Altering RNA Secondary Structures in Cancer Genomes
35. IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study
36. LSPpred Suite: Tools for Leaderless Secretory Protein Prediction in Plants
37. vissE.cloud: a webserver to visualise higher order molecular phenotypes from enrichment analysis
38. standR: a Bioconductor package for analysing transcriptomic Nanostring GeoMx DSP data
39. Data from A Gene Signature Predicting Natural Killer Cell Infiltration and Improved Survival in Melanoma Patients
40. Supplementary Figures 1-9 and Table 2 from A Gene Signature Predicting Natural Killer Cell Infiltration and Improved Survival in Melanoma Patients
41. Supplementary Figure from TGFβ and CIS Inhibition Overcomes NK-cell Suppression to Restore Antitumor Immunity
42. Supplementary Table 1 from A Gene Signature Predicting Natural Killer Cell Infiltration and Improved Survival in Melanoma Patients
43. Data from TGFβ and CIS Inhibition Overcomes NK-cell Suppression to Restore Antitumor Immunity
44. Supplementary Methods from A Transcriptional Program for Detecting TGFβ-Induced EMT in Cancer
45. Data from SOX9 Defines Distinct Populations of Cells in SHH Medulloblastoma but Is Not Required for Math1-Driven Tumor Formation
46. Supplementary Figure 1 from SOX9 Defines Distinct Populations of Cells in SHH Medulloblastoma but Is Not Required for Math1-Driven Tumor Formation
47. Data from A Transcriptional Program for Detecting TGFβ-Induced EMT in Cancer
48. Supplementary Table 2 from SOX9 Defines Distinct Populations of Cells in SHH Medulloblastoma but Is Not Required for Math1-Driven Tumor Formation
49. Supplementary Table 1 from SOX9 Defines Distinct Populations of Cells in SHH Medulloblastoma but Is Not Required for Math1-Driven Tumor Formation
50. Supplementary Table 3 from SOX9 Defines Distinct Populations of Cells in SHH Medulloblastoma but Is Not Required for Math1-Driven Tumor Formation
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