Scanning sample-specific miRNA regulation from bulk and single-cell RNA-sequencing data.

ABSTRACT:

Background

RNA-sequencing technology provides an effective tool for understanding miRNA regulation in complex human diseases, including cancers. A large number of computational methods have been developed to make use of bulk and single-cell RNA-sequencing data to identify miRNA regulations at the resolution of multiple samples (i.e. group of cells or tissues). However, due to the heterogeneity of individual samples, there is a strong need to infer miRNA regulation specific to individual samples to uncover miRNA regulation at the single-sample resolution level.

Results

Here, we develop a framework, Scan, for scanning sample-specific miRNA regulation. Since a single network inference method or strategy cannot perform well for all types of new data, Scan incorporates 27 network

SUBMITTER: Zhang J 

PROVIDER: S-EPMC11438147 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature