Linear discriminant analysis of phenotypic data for classifying autism spectrum disorder by diagnosis and sex

Linear discriminant analysis of phenotypic data for classifying autism spectrum disorder by diagnosis and sex

Autism Spectrum Disorder (ASD) is a developmental condition characterized by social and communication differences. Recent research suggests ASD affects 1-in-44 children in the United States. ASD is diagnosed more commonly in males, though it is unclear whether this diagnostic disparity is a result o...

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Main Authors: Zachary Jacokes, Allison Jack, Catherine A. W. Sullivan, Elizabeth Aylward, Susan Y. Bookheimer, Mirella Dapretto, Raphael A. Bernier, Daniel H. Geschwind, Denis G. Sukhodolsky, James C. McPartland, Sara J. Webb, Carinna M. Torgerson, Jeffrey Eilbott, Lauren Kenworthy, Kevin A. Pelphrey, John D. Van Horn, The GENDAAR Consortium, Katy Ankenman, Sarah Corrigan, Dianna Depedro-Mercier, Nadine Gaab, Desiree Guilford, Abha R. Gupta, Shafali Jeste, Cara M. Keifer, Anna Kresse, Erin Libsack, Jennifer K. Lowe, Erin MacDonnell, Nicole McDonald, Adam Naples, Charles A. Nelson, Emily Neuhaus, Pamela Ventola, Olivia Welker, Julie Wolf
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Neuroscience
Subjects:
autism spectrum disorder
phenotypic analysis
multivariate statistics
classification
diagnostic
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1040085/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.1040085/full

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