quon-titative-biology/scAlign: An alignment and integration method for single cell genomics

An unsupervised deep learning method for data alignment, integration and estimation of per-cell differences in -omic data (e.g. gene expression) across datasets (conditions, tissues, species). See Johansen and Quon (2019) <doi:10.1101/504944> for more details.

Getting started

Package details

AuthorNelson Johansen [aut, cre], Gerald Quon [aut]
Bioconductor views DimensionReduction NeuralNetwork SingleCell Transcriptomics
MaintainerNelson Johansen <njjohansen@ucdavis.edu>
LicenseGPL-3
Version1.1.6
URL https://github.com/quon-titative-biology/scAlign
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("quon-titative-biology/scAlign")
quon-titative-biology/scAlign documentation built on Jan. 11, 2020, 4:37 p.m.