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What is Interpretable Machine Learning For Genomics about?

This document discusses the importance of interpretable machine learning (iML) in genomics, highlighting its role in making complex machine learning models understandable to researchers. It emphasizes the need for iML to facilitate precision medicine and addresses the challenges and limitations of current methodologies. The article serves as an introduction to iML concepts, methodologies, and future research directions in the context of genomic applications.

Author

mailtociya

Language

EN