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Dmitry Rychkov's Projects

bigdata_ai_drugdiscovery icon bigdata_ai_drugdiscovery

A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks.

ckg icon ckg

Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported from diverse biomedical databases 2) automate knowledge discovery making use of all the information contained in the graph

dat3 icon dat3

General Assembly's Data Science course in Washington, DC

ds30 icon ds30

Data Science in 30 Minutes

ds30_3 icon ds30_3

Data Science in 30 Minutes #3 - Holt-Winters and exponential smoothing

feser icon feser

feseR: Combining feature selection methods for analyzing omics data

health-analytics-ucsf icon health-analytics-ucsf

This is a repository for a seminar series conducted at UCSF in April 2017 by Prof. Arash Nourian.

httr icon httr

httr: a friendly http package for R

kaggle_pbr icon kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

machine-learning-in-r icon machine-learning-in-r

4-hour tutorial on machine learning in R: knn, OLS, decision trees, random forest, gbm, superlearner

ml_cheat_sheet icon ml_cheat_sheet

My notes and superstitions about common machine learning algorithms

pa_in_ra icon pa_in_ra

Physical Activity in Rheumatoid Arthritis

recon2neo4j icon recon2neo4j

This framework is part of the DiseaseNetworks module, eTRIKS Lab. The Metabolic Framework uses the neo4j graph platform for the management of data on human metabolism (basis: Recon2).

rges icon rges

reverse gene expression score

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