Article

Unsupervised data-driven stratification of mentalizing heterogeneity in autism

2015-12-15

Abstract excerpt

Individuals affected by autism spectrum conditions (ASC) are considerably heterogeneous. Novel approaches are needed to parse this heterogeneity to enhance precision in clinical and translational research. Applying a clustering approach taken from genomics and systems biology on two large independent cognitive datasets of adults with and without ASC (n=715; n=251), we find replicable evidence for 5 discrete ASC su...

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Literature Corpus work: c42cb8a8-e5de-50ab-beb5-7eeb53268b15
DOI: 10.1101/034454

Open publication

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