R toolkit for single cell genomics

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

Inferring CNV from Single-Cell RNA-Seq

R package for detecting doublets in single-cell RNA sequencing data

Differential expression of RNA-seq data using the Negative Binomial

Table of software for the analysis of single-cell RNA-seq data.

Functions for identifying and characterizing continuous developmental trajectories in single-cell data.

R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data

Tools and methods for analysis of single cell assay data in R

Simple simulation of single-cell RNA sequencing data

Methods for detecting doublets in single-cell sequencing data

Conversion between scRNA-seq objects

Single-cell RNA-seq Gene Expression Recovery

scPred package for cell type prediction from scRNA-seq data

Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data

A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic …

Tools used in Human Cell Landscape(HCL)

An unsupervised approach for the integrative analysis of single-cell multi-omics data

R Package for Systematic Optimization of Metabolomic Data Processing

An R package that integrates the installation, execution, and benchmark of cutting-edge computational doublet-detection methods.

Benchmarking computational doublet-detection methods for single-cell RNA sequencing data