Version 2.1.0 released

R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)

An R package for cell type prediction from single cell omics data

A Shiny app for visualizing and exploring single cell RNA-sequencing data

A effort to collect all of the scRNA imputation methods and allow them to interface with scRNA-seq libraries (i. e. Seurat, SingleCellAssay, etc...)

Visualize expression of genes of interest after Conos.Cluster has been ran.

Single-cell multi-omic profiling of glioblastoma-associated myeloid cells

hatpal is an R package for alternative polyadenylation (APA) identification & analysis using 3’ scRNA-seq (10x etc.).

Single Nuclei RNA Sequencing analysis of MND muscle cultures for the paper "Impaired signaling for neuromuscular synaptic maintenance is a feature of Motor Neuron Disease" by Ding et al, published in Acta Neuropathologica Communications.

Large-scale Benchmarking of Single-cell Differential Expression Analysis Methods

RZiMM: A Regularized Zero-inflated Mixture Model for scRNA-seq Data

Interpretable Differential Abundance signature

R function to generate a circos-style ggplot from single-cell TCR data.