elolab/iloreg: ILoReg: a tool for high-resolution cell population identification from scRNA-Seq data

ILoReg is a tool for identification of cell populations from scRNA-seq data. In particular, ILoReg is useful for finding cell populations with subtle transcriptomic differences. The method utilizes a self-supervised learning method, called Iteratitive Clustering Projection (ICP), to find cluster probabilities, which are used in noise reduction prior to PCA and the subsequent hierarchical clustering and t-SNE steps. Additionally, functions for differential expression analysis to find gene markers for the populations and gene expression visualization are provided.

Getting started

Package details

Bioconductor views Clustering DataRepresentation DifferentialExpression DimensionReduction GeneExpression RNASeq SingleCell Software Transcription Transcriptomics Visualization
Maintainer
LicenseGPL-3
Version0.99.4
URL https://github.com/elolab/ILoReg
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("elolab/iloreg")
elolab/iloreg documentation built on Aug. 3, 2020, 12:59 p.m.