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A Machine Learning-Based Approach Using Multi-omics Data to Predict Metabolic Pathways.

In Methods in molecular biology (Clifton, N.J.)

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.

Niranjan Vidya, Uttarkar Akshay, Kaul Aakaanksha, Varghese Maryanne

2023

Algorithms, Integration, Machine learning, Multi-omics, Supervised learning, Unsupervised learning