Integrative Analysis of Differentially Expressed Genes in Time-Course Multi-Omics Data with MINT-DE.

ABSTRACT:

Background

Time-course multi-omics experiments have been highly informative for obtaining a comprehensive understanding of the dynamic relationships between molecules in a biological process, especially if the different profiles are obtained from the same samples. A fundamental step in analyzing time-course multi-omics data involves selecting a short list of genes or gene regions ("sites") that warrant further study. Two important criteria for site selection are the magnitude of change and the temporal dynamic consistency. However, existing methods only consider one of these criteria, while neglecting the other.

Results

In our study, we propose a framework called MINT-DE (Multi-omics INtegration of Time-course for Differential Expression an

SUBMITTER: Xue H 

PROVIDER: S-EPMC10802680 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature