Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a heterogeneous neuropsychiatric disorder with a complex genetic background. Analysis of altered molecular processes in ASD patients requires linear and nonlinear methods that provide interpretable solutions. Interpretable machine learning provides legible models th...

Full description

Bibliographic Details

Published in:	Frontiers in Genetics
Main Authors:	Mateusz Garbulowski, Karolina Smolinska, Klev Diamanti, Gang Pan, Khurram Maqbool, Lars Feuk, Jan Komorowski
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-02-01
Subjects:	autism spectrum disorder interpretable machine learning transcriptomics rule-based classification autism spectrum disorder subtypes data integration
Online Access:	https://www.frontiersin.org/articles/10.3389/fgene.2021.618277/full