Dmitry Rychkov's repositories
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.
ChIP-seq-analysis
ChIP-seq analysis notes from Ming Tang
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
General Assembly's Data Science course in Washington, DC
Data_Incubator_15
Summer 2015
Data_Incubator_16
Spring 2016
datasciencecoursera
for the assignment #1
ds30_3
Data Science in 30 Minutes #3 - Holt-Winters and exponential smoothing
flask-demo
Basic template for using Flask on Heroku
GettingAndCleaningData
Course project
health-analytics-ucsf
This is a repository for a seminar series conducted at UCSF in April 2017 by Prof. Arash Nourian.
Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
Machine-Learning-in-R
4-hour tutorial on machine learning in R: knn, OLS, decision trees, random forest, gbm, superlearner
ml_cheat_sheet
My notes and superstitions about common machine learning algorithms
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
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).
sirota_lab_covid_drug_repositioning
Drug repositioning pipeline applying a rank-based metric to transcriptomics data to identify potential therapeutics for COVID-19
Springleaf
Code example from the Springleaf competition project