There are 9 repositories under single-cell-analysis topic.
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
Community-provided extensions to Seurat
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
Haplotype-aware CNV analysis from single-cell RNA-seq
A collection of 50+ trajectory inference methods within a common interface 📥📤
Tutorial for scRNA-seq data analysis beginners using R
Cluster single cells and analyze cell clade relationships with colorful visualizations.
Context specific and dynamic gene regulatory network reconstruction and analysis
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
SCAVENGE is a method to optimize the inference of functional and genetic associations to specific cells at single-cell resolution.
An implementation of MNN (Mutual Nearest Neighbors) correct in python.
R package to visualize gene expression data based on weighted kernel density estimation
Spatial Single-Cell Analysis Toolkit
Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
Dynamic models for single-cell RNA-seq time series.
Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology
ClusterMap for multi-scale clustering analysis of spatial gene expression
A Library for Denoising Single-Cell Data with Random Matrix Theory
A web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat v3
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
Code repository for single cell RNA-seq
Comparison of dimensionality reduction methods