Work

96. Machine Learning-derived Subtypes of Autism Reveal Distinct Genetic Contributions From Common and Rare Variants

Year: 2025

Type: article

Source: European Neuropsychopharmacology

DOI: 10.1016/j.euroneuro.2025.08.563

Authors: Qing Tan, Jingyu Xie, LeeAnn Green Snyder, LeeAnn Green Snyder, Bridget Fernandez, Bridget Fernandez, Nicholas Mancuso, Charleston Chiang, Chang Shu

Institutions: University of Southern California, Boston Children's Hospital, Simons Foundation, Children's Hospital Los Angeles, Saban Research Institute

Language: English

Topic: Autism Spectrum Disorder Research

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4414824671

FWCI:

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