chrismckennan Goto Github PK
Name: Chris McKennan
Type: User
Bio: Assistant professor of statistics at the University of Pittsburgh
Name: Chris McKennan
Type: User
Bio: Assistant professor of statistics at the University of Pittsburgh
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Correcting for confounding of cell type in methylation data
Estimate latent covariates in high dimensional data when individual samples are correlated (i.e. related).
It consists of examples, assignments discussed in data science course at algorithmica.
Perform factor analysis in high dimensional correlated data
Data and R code to fit a longitudinal Bayesian model
Estimate and account for missing data and latent confounders in metabolomic and proteomic data
This project is to build models to simultaneously analyze meQTLs and eQTLs
Devel repository for minfi
Identify PSMs using MSeQUiP
Perform differential abundance, factor analysis, and mtGWAS in metabolomic data with non-random missing observations and latent factors
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.