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

ConclusionOnce links are drawn between clusters and clinically relevant outcomes, Immunochip data can be used to classify high-risk and newly diagnosed chronic disease patients into known clusters for predictive value. Further investigation can extend beyond pathway analysis to evaluate these clusters for clinical significance of genetically related characteristics such as age of onset, disease course, heritability, and response to treatment.Graphical abstract
Source: Journal of Biomedical Informatics - Category: Information Technology Source Type: research