Big data approaches to decomposing heterogeneity across the autism spectrum

Volume: 24, Issue: 10, Pages: 1435 - 1450
Published: Jan 7, 2019
Abstract
Autism is a diagnostic label based on behavior. While the diagnostic criteria attempt to maximize clinical consensus, it also masks a wide degree of heterogeneity between and within individuals at multiple levels of analysis. Understanding this multi-level heterogeneity is of high clinical and translational importance. Here we present organizing principles to frame research examining multi-level heterogeneity in autism. Theoretical concepts such...
Paper Details
Title
Big data approaches to decomposing heterogeneity across the autism spectrum
Published Date
Jan 7, 2019
Volume
24
Issue
10
Pages
1435 - 1450
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