ScGREAT: Graph-based regulatory element analysis tool for single-cell multi-omics data.

ABSTRACT:

Motivation

With the development in single-cell multi-omics sequencing technology and data integration algorithms, we have entered the single-cell multi-omics era. Current multi-omics analysis algorithms failed to systematically dissect the heterogeneity within the datasets when inferring cis-regulatory events. Thus, there is a need for cis-regulatory element inferring algorithms that considers the cellular heterogeneity.

Results

Here, we propose scGREAT, a single-cell multi-omics regulatory state analysis Python package with a rapid graph-based correlation measurement L. The graph-based correlation method assigns each cell a local L index, pinpointing specific cell groups of certain regulatory states. Such single-cell resolved regulatory state information enabl

SUBMITTER: Liu C 

PROVIDER: S-EPMC9900895 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature