期刊
NUCLEIC ACIDS RESEARCH
卷 50, 期 5, 页码 -出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab1200
关键词
-
资金
- Research and Innovation chair L'Oreal in Digital Biology
- National Health and Medical Research Council (NHMRC) Career Development fellowship [GNT1159458]
Multi-omics integration is crucial for understanding complex biological processes, but the challenge lies in interpretation. A generic approach is proposed to build hybrid multi-omics networks for predicting regulatory mechanisms and functional modules.
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 both inferred and known relationships within and between omics layers. With smart node labelling and propagation analysis, this approach predicts regulation mechanisms and multi-omics functional modules. We applied the method on 3 case studies with various multi-omics designs and identified new multi-layer interactions involved in key biological functions that could not be revealed with single omics analysis. Moreover, we highlighted interplay in the kinetics that could help identify novel biological mechanisms. This method is available as an R package netOmics to readily suit any application.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据