A data-fusion approach to identifying developmental dyslexia from multi-omics datasets

This exploratory study tested and validated the use of data fusion and machine learning techniques to probe high-throughput omics and clinical data with a goal of exploring the etiology of developmental dyslexia. Developmental dyslexia is the leading learning disability in school aged children affec...

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Detalles Bibliográficos
Autores principales: Carrion, Jackson, Nandakumar, Rohit, Shi, Xiaojian, Gu, Haiwei, Kim, Yookyung, Raskind, Wendy H., Peter, Beate, Dinu, Valentin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002702/
https://www.ncbi.nlm.nih.gov/pubmed/36909570
http://dx.doi.org/10.1101/2023.02.27.530280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002702/
https://www.ncbi.nlm.nih.gov/pubmed/36909570
http://dx.doi.org/10.1101/2023.02.27.530280

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