Version 2.1.0 released
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Updated
Sep 16, 2019 - R
Version 2.1.0 released
R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)
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...)
R function to generate a circos-style ggplot from single-cell TCR data.
hatpal is an R package for alternative polyadenylation (APA) identification & analysis using 3’ scRNA-seq (10x etc.).
RZiMM: A Regularized Zero-inflated Mixture Model for scRNA-seq Data
An R package for cell type prediction from single cell omics data
Single-cell multi-omic profiling of glioblastoma-associated myeloid cells
Large-scale Benchmarking of Single-cell Differential Expression Analysis Methods
Visualize expression of genes of interest after Conos.Cluster has been ran.
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.
Interpretable Differential Abundance signature
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