Inference of single-cell network using mutual information for scRNA-seq data analysis.

ABSTRACT:

Background

With the advance in single-cell RNA sequencing (scRNA-seq) technology, deriving inherent biological system information from expression profiles at a single-cell resolution has become possible. It has been known that network modeling by estimating the associations between genes could better reveal dynamic changes in biological systems. However, accurately constructing a single-cell network (SCN) to capture the network architecture of each cell and further explore cell-to-cell heterogeneity remains challenging.

Results

We introduce SINUM, a method for constructing the SIngle-cell Network Using Mutual information, which estimates mutual information between any two genes from scRNA-seq data to determine whether they are dependent or independent in a specific cell. Exp

SUBMITTER: Chang LY 

PROVIDER: S-EPMC11378379 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature