Skip to content

Explore GitHub Enterprise

Trending repositories

See what the GitHub Enterprise community is most excited about today.

Date range: Today
Adjust time span
Today This week This month
Language: R
Select a language
Clear language
Unknown languages ActionScript AGS Script AngelScript ANTLR ApacheConf AppleScript Classic ASP ASP.NET AspectJ Assembly AutoHotkey AutoIt Awk Batchfile Bison BlitzBasic Brainfuck C C# C++ Clojure CMake CoffeeScript ColdFusion Common Lisp Coq Crystal CSS Cuda Cython D DIGITAL Command Language Dockerfile DTrace Dylan Eagle Elixir Elm Emacs Lisp Erlang F# Fancy Forth Fortran FreeMarker Frege GAP GCC Machine Description GDB Gherkin GLSL Gnuplot Go Groovy GSC Hack Haskell HCL HLSL HTML IDL ImageJ Macro Inno Setup Io Java JavaScript Jinja Julia Jupyter Notebook KRL Less Lex Limbo Liquid Logos LOLCODE Lua M M4 Makefile Mako Mask Mathematica MATLAB Max Mercury Monkey C NASL Nemerle NewLisp Nextflow Nginx NSIS Objective-C Objective-C++ OCaml Opa OpenEdge ABL Pascal Perl Raku PHP PigLatin PLpgSQL PLSQL PostScript POV-Ray SDL PowerShell Processing Prolog Protocol Buffer Pug Puppet PureBasic Python QMake QML R Raku RAML Reason Rebol Rich Text Format Roff Ruby Rust Sass Scala Scheme Scilab SCSS sed ShaderLab Shell Smalltalk Smarty SmPL SourcePawn SQLPL Stan Stata SuperCollider SystemVerilog Tcl TeX Thrift TSQL Twig TypeScript UnrealScript VBA VBScript Vim Script Vim Script Visual Basic .NET Visual Basic 6.0 Vue Web Ontology Language Xonsh XQuery XS XSLT Yacc Zig
    Star

    heinrich / CRUP

    CRUP is a workflow consisting of three main steps (CRUP - EP, CRUP - ED, CRUP - ED) and an additonal pre-preparing step (CRUP - normalize), whereas each step build upon one another. CRUP collapses different layers of epigenetic information into a single list of regulatory units consisting of dynamically changing enhancers and target genes.

    R Built by @heinrich
    Star

    sebastianlieske / multimodalR

    Simulation of multimodal gene expression, evaluation of algorithms detecting multimodality in gene expression data sets, and detection of multimodal genes in gene expression data sets

    R 1 Built by @sbeck @jenzopr
    Star

    loosolab / multimodalR

    Simulation of multimodal gene expression, evaluation of algorithms detecting multimodality in gene expression data sets, and detection of multimodal genes in gene expression data sets

    R 1 Built by @sbeck @jenzopr
    Star

    Alena / coTRaCTE

    Predicting co-occurring transcription factors on cell-type specific accessible chromatin regions

    R Built by @Alena