A Machine Learning-Based Approach Using Multi-omics Data to Predict Metabolic Pathways.
Journal:
Methods in molecular biology (Clifton, N.J.)
PMID:
36227554
Abstract
The integrative method approaches are continuously evolving to provide accurate insights from the data that is received through experimentation on various biological systems. Multi-omics data can be integrated with predictive machine learning algorithms in order to provide results with high accuracy. This protocol chapter defines the steps required for the ML-multi-omics integration methods that are applied on biological datasets for its analysis and the visual interpretation of the results thus obtained.