A hypergraph-based method for large-scale dynamic correlation study at the transcriptomic scale.

ABSTRACT:

Background

The biological regulatory system is highly dynamic. Correlations between functionally related genes change over different biological conditions, which are often unobserved in the data. At the gene level, the dynamic correlations result in three-way gene interactions involving a pair of genes that change correlation, and a third gene that reflects the underlying cellular conditions. This type of ternary relation can be quantified by the Liquid Association statistic. Studying these three-way interactions at the gene triplet level have revealed important regulatory mechanisms in the biological system. Currently, due to the extremely large amount of possible combinations of triplets within a high-throughput gene expression dataset, no method is available to examine the terna

SUBMITTER: Kong Y 

PROVIDER: S-EPMC6530038 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature