Article

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

2023-02-28

Abstract excerpt

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 affecting roughly 5-10% of the US population. The complex biological and neurological phenotype of this life altering disa...

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Literature Corpus work: 1385e2cd-2d9c-5770-9eef-3bcc1b54da4d
DOI: 10.1101/2023.02.27.530280

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