R toolkit for single cell genomics
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Updated
May 9, 2024 - R
R toolkit for single cell genomics
Deep probabilistic analysis of single-cell and spatial omics data
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
NicheNet: predict active ligand-target links between interacting cells
Table of software for the analysis of single-cell RNA-seq data.
Multi-subject Single Cell Deconvolution
Spatial Single Cell Analysis in Python
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments
R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets
Tutorial for scRNA-seq data analysis beginners using R
Interfaces for HDF5-based Single Cell File Formats
Pipeline for initial analysis of droplet-based single-cell RNA-seq data
R package for the joint analysis of multiple single-cell RNA-seq datasets
CellRank: dynamics from multi-view single-cell data
Content for the OSCA Book.
scDeepCluster for Single Cell RNA-seq data
integrated RNA-seq Analysis Pipeline
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