An unsupervised machine learning method for discovering patient clusters based on genetic signatures.

Abstract excerpt

INTRODUCTION: Many chronic disorders have genomic etiology, disease progression, clinical presentation, and response to treatment that vary on a patient-to-patient basis. Such variability creates a need to identify characteristics within patient populations that have clinically relevant predictive value in order to advance personalized medicine. Unsupervised machine learning methods are suitable to address this...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Cluster Analysis
• Share to Computational Biology