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Recursive Feature Elimination by Sensitivity Testing
Localizing differentially evolving covariance structures via scan statistics
Combined hypothesis testing on graphs with applications to gene set enrichment analysis
Practical model selection for prospective virtual screening
Datasets for practical model selection for prospective virtual screening
This repository contains datasets for the manuscript "Practical model selection for prospective virtual screening." It includes chemical screening data for several protein-protein interaction drug targets.
Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants
BaselineRegularization
BaselineRegularization is an R package for identifying adverse or beneficial drug effects from longitudinal observational data such as electronic health records. It is designed to work with the OMOP Common Data Model while having the flexibility to work with other custom databases and a variety of data sources.
A natural language interface for dissemination of reproducible biomedical data science
CPCP 2018 Retreat: Introduction Symposium Video
Welcoming remarks by Mark Craven
CPCP 2018 Retreat: Entity and Text Matching Symposium Video
Talk by AnHai Doan