Clinical trials search engine used for precision medicine
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Updated
Jan 13, 2019 - Jupyter Notebook
Clinical trials search engine used for precision medicine
Open Science Projects at Georgetown-ICBI
Easy to use web interface for biologists to look for genetic variants and understand their deleteriousness using DITTO scores.
Machine-learning-based classification of bulky mediastinal lymphomas using radiomic features
CMap2 Top Coder Data Science Marathon Match
Model ensemble for third-party lucky series, such GSClassifier
Rapid diagnostic strategy for cardiomyopathy etiology
Services and guidelines for normalizing disease terms
Code for paper Multiomics dynamic learning enables personalized diagnosis and prognosis for pan-cancer and cancer-subtypes
Precision Medicine Target-Drug Selection in Cancer
MMRF Top Coder Data Science Marathon Match
Tool for discovery of risk controlled individualized treatment rule via decision trees and random forests
Bayesian predictive model for personalized treatment selection for new untreated patients, which leverages known predictive and prognostic biomarkers. In particular, predictive biomarkers are exploited to inform a product partition model with covariates (PPMx) to obtain homogeneous clusters.
ABP Imputation with EHR medication data is the second version of the ABP Imputer model.
Files for manuscript Resources for Interpreting Variants in Precision Genomic Oncology Applications
MultiMlearn - Estimation of individualized treatment rules using matched learning (M-learning), under the setting of multicategory treatments.
This repository summarizes my literature review across different fields of Data Science, Artificial Intelligence, and Informatics and its application to medicine and public health.
This repository contains all the materials of the 2020 MiCM Winter Workshop Series.
A doubly robust precision medicine approach to estimate and validate conditional average treatment effects
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