Article

Divide and Conquer: Clustering Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms

2020-10-09

Abstract excerpt

<title>Abstract</title> <p>BackgroundClinical heterogeneity in autism spectrum disorder (ASD) can complicate diagnostics and treatments. The identification of biomarkers may hold the key to the classification of ASD subgroups. Accumulating evidence suggests that genetic or genomic markers may facilitate the clustering of patients with ASD. The goal of the current study is to use machine learning algorithms to ana...

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Literature Corpus work: 5fd4410b-0f0a-5431-898b-f1790690e46c
DOI: 10.21203/rs.3.rs-87427/v1

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