Multi-omic integration by machine learning (MIMaL).

ABSTRACT:

Motivation

Cells respond to environments by regulating gene expression to exploit resources optimally. Recent advances in technologies allow for measuring the abundances of RNA, proteins, lipids and metabolites. These highly complex datasets reflect the states of the different layers in a biological system. Multi-omics is the integration of these disparate methods and data to gain a clearer picture of the biological state. Multi-omic studies of the proteome and metabolome are becoming more common as mass spectrometry technology continues to be democratized. However, knowledge extraction through the integration of these data remains challenging.

Results

Connections between molecules in different omic layers were discovered through a combination of machine learning and model i

SUBMITTER: Dickinson Q 

PROVIDER: S-EPMC9801967 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature