physics-informed neural network based method for solving single-cell population dynamics

gRNA-design

A wrapper method to measure cell-to-cell variability in scRNA-seq data

gpttools extends gptstudio for package development to help you document code, write tests, or even explain code

Clone of the Bioconductor repository for the basilisk package.

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These vide…

📅 Create interactive timeline visualizations in R

Snakemake workflow to benchmark scRNA-seq data simulators

Code used to carry out parameter estimation, correlation estimation, type 1 error analysis, and power analysis for our "Pseudoreplication in Single-Cell" study

Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data

🚀 R package: doFuture - Use Foreach to Parallelize via Future Framework

Using R with many CPUs

Code and slides for RStudio webinars

Personal homepage of Warren W. Kretzschmar

R package: Simulate Expression data from igraph network using mvtnorm (CRAN; JOSS)

Explore design matrices interactively with R/Shiny

Deconvolution of RNA-Seq Via Sparse Group Lasso

Use RMarkdown to generate PDF Conference Posters via HTML

Organize your project into a research website

List of software packages for multi-omics analysis

Python for engineers

Plotting tool for brain atlases, in ggplot

A Grammar of Data Manipulation for Omics Data

easy access to benchmark datasets

This contains the dataset for comparing scRNA-seq analysis methods

An R package to construct Elastic Principal Graphs

Single-cell analysis in Python. Scales to >100M cells.