CRAN/E | scINSIGHT

scINSIGHT

Interpretation of Heterogeneous Single-Cell Gene Expression Data

Installation

About

We develop a novel matrix factorization tool named 'scINSIGHT' to jointly analyze multiple single-cell gene expression samples from biologically heterogeneous sources, such as different disease phases, treatment groups, or developmental stages. Given multiple gene expression samples from different biological conditions, 'scINSIGHT' simultaneously identifies common and condition-specific gene modules and quantify their expression levels in each sample in a lower-dimensional space. With the factorized results, the inferred expression levels and memberships of common gene modules can be used to cluster cells and detect cell identities, and the condition-specific gene modules can help compare functional differences in transcriptomes from distinct conditions. Please also see Qian K, Fu SW, Li HW, Li WV (2022) doi:10.1186/s13059-022-02649-3.

github.com/Vivianstats/scINSIGHT
genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02649-3

Key Metrics

Version 0.1.4
Published 2022-05-29 862 days ago
Needs compilation? yes
License GPL-3
CRAN checks scINSIGHT results

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Maintainer

Maintainer

Kun Qian

Authors

Kun Qian

aut / ctb / cre

Wei Vivian Li

aut / ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

scINSIGHT archive

Depends

methods

Imports

Rcpp
RANN
igraph
parallel
stats
stringr

LinkingTo

Rcpp
RcppArmadillo