Interpretation of network-based integration from multi-omics longitudinal data.

ABSTRACT: Multi-omics integration is key to fully understand complex biological processes in an holistic manner. Furthermore, multi-omics combined with new longitudinal experimental design can unreveal dynamic relationships between omics layers and identify key players or interactions in system development or complex phenotypes. However, integration methods have to address various experimental designs and do not guarantee interpretable biological results. The new challenge of multi-omics integration is to solve interpretation and unlock the hidden knowledge within the multi-omics data. In this paper, we go beyond integration and propose a generic approach to face the interpretation problem. From multi-omics longitudinal data, this approach builds and explores hybrid multi-omics networks composed of

SUBMITTER: Bodein A 

PROVIDER: S-EPMC8934642 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature