gaiazaff

gaiazaff's Stars

• IndrajeetPatil/ggstatsplot

  Enhancing {ggplot2} plots with statistical analysis 📊📣

  Language:R2k186

• pachterlab/kallisto_paper_analysis

  Analysis from kallisto paper

  Language:HTML3215

• thomasp85/tidygraph

  A tidy API for graph manipulation

  Language:R54662

• crazyhottommy/ChIP-seq-analysis

  ChIP-seq analysis notes from Ming Tang

  Language:Python745294

• ibn-salem/sevenC

  7C: Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs

  Language:R122

• clauswilke/dataviz

  A book covering the fundamentals of data visualization

  Language:HTML3.2k698

• r-lib/usethis

  Set up commonly used 📦 components

  Language:R859286

• thomasp85/patchwork

  The Composer of ggplots

  Language:R2.5k162

• saezlab/footprints

  Analysis code for "Perturbation-response genes reveal signaling footprints in cancer gene expression"

  Language:R208

• jdrudolph/photon

  PHOsphoproteomic dissecTiOn using Networks

  Language:Python175

• dspinellis/latex-advice

  Advice for writing LaTeX documents

  Language:TeX1.1k117

• Gibbsdavidl/miergolf

  Influence maximization

  Language:Python72

• alegrand/RR_webinars

  Series of webinars and documents on Reproducible Research

  Language:Emacs Lisp8520

• thomasp85/ggraph

  Grammar of Graph Graphics

  Language:R1.1k115

• saezlab/pypath

  Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotations and intercellular communication roles.

  Language:Python13546

• saschajung/RefBool

  RefBool - a reference-based algorithm for booleanizing gene expression data

  Language:Matlab72

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.2k7.3k

• kailashahirwar/cheatsheets-ai

  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

  15.1k3.4k

• ULHPC/tutorials

  Tutorials for the usage of the Uni.lu HPC platform

  Language:HTML12942

• igraph/rigraph

  igraph R package

  Language:R548200