19 results on '"Gayvert, Kaitlyn"'
Search Results
2. Digital wearable insole-based identification of knee arthropathies and gait signatures using machine learning
3. Broad Targeting Specificity during Bacterial Type III CRISPR-Cas Immunity Constrains Viral Escape
4. The Identification of CELSR3 and Other Potential Cell Surface Targets in Neuroendocrine Prostate Cancer
5. N-Myc Induces an EZH2-Mediated Transcriptional Program Driving Neuroendocrine Prostate Cancer
6. A Bayesian machine learning approach for drug target identification using diverse data types
7. Evaluation of Common Gamma Chain Cytokine Signaling Blockade with REGN7257, an Interleukin 2 Receptor Gamma (IL2RG) Monoclonal Antibody, on Immune Cell Populations in Monkey and Human
8. Highly Multiplexed Immunohistochemistry Can Predict Steroid Refractory Gastrointestinal (GI) Acute Gvhd at the Time of Endoscopy
9. A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors
10. Abstract 5039: A data driven approach to predicting tissue-specific adverse events
11. A Computational Approach for Identifying Synergistic Drug Combinations
12. A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials
13. Abstract LB-106: Using a data-driven Bayesian approach to predict the targets of orphan small molecules and ways to overcome drug resistance
14. Abstract B142: A “moneyball” approach to predicting clinical trial failures and successes
15. Abstract 3688: Target identification for anticancer molecules using a Big Data approach
16. ENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancers
17. Abstract 362: Computational drug repositioning identifies dexamethasone as potential ERG inhibitor
18. Predicting Cancer Prognosis Using Functional Genomics Data Sets
19. ENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancers.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.