Package: scINSIGHT 0.1.4
scINSIGHT: Interpretation of Heterogeneous Single-Cell Gene Expression Data
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>.
Authors:
scINSIGHT_0.1.4.tar.gz
scINSIGHT_0.1.4.tar.gz(r-4.5-noble)scINSIGHT_0.1.4.tar.gz(r-4.4-noble)
scINSIGHT_0.1.4.tgz(r-4.4-emscripten)scINSIGHT_0.1.4.tgz(r-4.3-emscripten)
scINSIGHT.pdf |scINSIGHT.html✨
scINSIGHT/json (API)
# Install 'scINSIGHT' in R: |
install.packages('scINSIGHT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vivianstats/scinsight/issues
Last updated 3 years agofrom:13ecdced88. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 11 2024 |
Exports:create_scINSIGHTrun_scINSIGHT
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigRANNRcppRcppArmadillorlangstringistringrvctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create an scINSIGHT object. | create_scINSIGHT |
Perform scINSIGHT on normalized datasets | run_scINSIGHT |
The scINSIGHT Class | scINSIGHT scINSIGHT-class |