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scINSIGHT
View on CRAN: Click
here
Download and install scINSIGHT package within the R console
Install from CRAN:
install.packages("scINSIGHT")
Install from Github:
library("remotes")
install_github("cran/scINSIGHT") Install by package version:
library("remotes")
install_version("scINSIGHT", "0.1.5") Attach the package and use:
library("scINSIGHT")
Maintained by
Kun Qian
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-03
Latest Update: 2022-05-29
Description:
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) .
How to cite:
Kun Qian (2021). scINSIGHT: Interpretation of Heterogeneous Single-Cell Gene Expression Data. R package version 0.1.5, https://cran.r-project.org/web/packages/scINSIGHT. Accessed 05 Jun. 2026.
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imports, suggests or enhances
Complete documentation for scINSIGHT
Functions, R codes and Examples using
the scINSIGHT R package
Some associated functions: create_scINSIGHT . run_scINSIGHT . scINSIGHT-class .
Some associated R codes: RcppExports.R . scinsight.R . utils.R . Full scINSIGHT package functions and examples
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