COAC (Component Overlapping Attribute Clustering) is a tool to make a sub-population gene co-expression network analysis from single-cell RNA-seq data. The COAC algorithm uses a new Component Overlapping Attribute Clustering, inferring co-expression patterns from the elements of a matrix of scRNA-seq profiles.
Gene expression; RNA-Seq
Peng H, Zeng X, Zhou Y, Zhang D, Nussinov R, Cheng F "A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications." PLoS Comput Biol. 2019 Feb 19;15(2):e1006772. eCollection 2019 Feb. https://doi.org/10.1371/journal.pcbi.1006772
PMID: 30779739
PMCID: PMC6396937
If you find errors, please report here.
SECTIONS
TutorialsFind thousands of Bioinformatics and Life Science software tools and databases in the newly launched
Ads