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

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