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
