Unsupervised data-driven stratification of mentalizing heterogeneity in autism

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 independen...

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Publicado no:Sci Rep
Main Authors: Lombardo, Michael V., Lai, Meng-Chuan, Auyeung, Bonnie, Holt, Rosemary J., Allison, Carrie, Smith, Paula, Chakrabarti, Bhismadev, Ruigrok, Amber N. V., Suckling, John, Bullmore, Edward T., Ecker, Christine, Craig, Michael C., Murphy, Declan G. M., Happé, Francesca, Baron-Cohen, Simon
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group 2016
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5067562/
https://ncbi.nlm.nih.gov/pubmed/27752054
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep35333
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