Science Pool

Machine Learning using Omics Data

This article forms a book chapter in Artificial Intelligence in Drug Design.

In this review article, we discuss the use of machine learning approaches in large omics studies

The chapter includes:

  • an overview of the typical analysis of an omics dataset using machine learning
  • demonstration of how to build a model predicting drug-induced liver injury (DILI) using transcriptomics data
  • best practices and pitfalls to consider during initial data exploration and model training through to validation and analysis of the final model