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DNA Sequencing 1 Top Coder Data Science Marathon Match
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Precision Medicine Target-Drug Selection in Cancer
Files for manuscript Resources for Interpreting Variants in Precision Genomic Oncology Applications
Data & Scripts for the Memorial Sloan Kettering Cancer Center's (MSKCC) request for a machine learning algorithm that, using annotated information on genomic variants, automatically classifies genetic variations as either neutral or cancerous.
Algorithms to detect mutational hotspots
Reproducibility materials for "Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics" by Yang Ni, Francesco C. Stingo, Min Jin Ha, Rehan Akbani & Veerabhadran Baladandayuthapani
G-DOC Web Application
Clinical trials search engine used for precision medicine
Subclassification of disease states based on the intersection of literature and expression
Patient 'omics data in OMOP format
Tool for discovery of risk controlled individualized treatment rule via decision trees and random forests
Support vector machine in medical disease detection. Both linear and non-linear data can be fitted in svm through its kernel specialization In medical we focus on precision or recall rather than accuracy.
Case Study: Personalized Anti-Coagulation: Optimizing Warfarin Management Using Genetics and Simulated Clinical Trials
Saas tool for developing and testing solutions for TREC PM. Includes built in trec_eval, Elasticsearch and Terrier
TractLearn is a Manifold Learning Toolbox for precision medicine. The first application is for Diffusion-Weighted MRI quantitative analysis.
Framework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay
Initial data release for drug-target interactions of the cancer targetome.
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