Beast code in Giters

KoleTison's starred repositories

Tumor-Immune-Cell-Atlas

Code repository for the Tumor Immune Cell Atlas (TICA) project

Language:R6100

WGCNA_tutorial

A step-by-step tutorial for Weighted correlation network analysis (WGCNA)

5700

PyWGCNA

PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)

Language:Jupyter NotebookMIT21000

SingleR

Clone of the Bioconductor repository for the SingleR package.

Language:RGPL-3.017300

LEMBAS

enables genome-scale simulation of intracellular signaling

Language:PythonMIT800

single-cell-tutorial

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

Language:Jupyter Notebook136200

CellphoneDB

CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.

Language:Jupyter NotebookMIT32000

MultiQC

Aggregate results from bioinformatics analyses across many samples into a single report.

Language:JavaScriptGPL-3.0120600

ROGUE

Assessing the purity of single cell population

Language:RBSD-3-Clause9900

celltypist_wiki

Materials and scripts for building cell type encyclopedia table

Language:Python1500

The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.

Language:PythonBSD-3-Clause8300