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scINSIGHT for interpreting single cell gene expression in biologically heterogeneous data ================ Kun Qian, Wei Vivian Li 2025-10-19
2025/10/19:
scINSIGHT uses a novel matrix factorization model to jointly analyze multiple single-cell gene expression samples from biologically heterogeneous sources, such as different disease phases, treatment groups, or developmental stages. It assumes that each gene module is a sparse and non-negative linear combination of genes, and each cell is jointly defined by the expression of common and condition-specific modules. Given multiple gene expression samples from different biological conditions, scINSIGHT aims to simultaneously identify common and condition-specific gene modules and quantify their expression levels in each sample in a lower-dimensional space.
Any suggestions on the package are welcome! For technical problems, please report to Issues. For suggestions and comments on the method, please contact Kun (kun_qian@foxmail.com) or Vivian (vivian.li@rutgers.edu).
You can install scINSIGHT from CRAN
with:
install.packages("scINSIGHT")Please refer to the package vignette for examples about how to use the package functions.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.