alexisvdb/singleCellHaystack: Finding surprising needles (=genes) in haystacks (=single cell transcriptome data)

`singleCellHaystack` is a package for finding surprising needles (=genes) in haystacks (=single cell transcriptome data). Single-cell RNA-seq (scRNA-seq) data is often converted to fewer dimensions using Principal Component Analysis (PCA) and represented in 2-dimentional plots (e.g. t-SNE or UMAP plots). `singleCellHaystack` can be used for finding genes that are expressed in subsets of cells that are non-randomly distributed in these multi-dimensional spaces or 2D representations.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("alexisvdb/singleCellHaystack")
alexisvdb/singleCellHaystack documentation built on Aug. 1, 2019, 11:53 p.m.