Genomic insights and advanced machine learning: characterizing autism spectrum disorder biomarkers and genetic interactions

Genomic insights and advanced machine learning: characterizing autism spectrum disorder biomarkers and genetic interactions

<div><p>Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by altered brain connectivity and function. In this study, we employed advanced bioinformatics and explainable AI to analyze gene expression associated with ASD, using data from five GEO datase...

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Bibliographic Details
Main Author:	Laila Dabab Nahas (7609949) (author)
Other Authors:	Ankur Datta (17773764) (author), Alsamman M. Alsamman (8372094) (author), Monica H. Adly (16400349) (author), Nader Al-Dewik (4166527) (author), Karthik Sekaran (16845959) (author), K Sasikumar (14427884) (author), Kanika Verma (6809312) (author), George Priya C Doss (17773767) (author), Hatem Zayed (835448) (author)
Published:	2023
Subjects:	Biological sciences Genetics Biomedical and clinical sciences Neurosciences Autism spectrum disorder Single nucleotide polymorphism Artificial Intelligence Pathway Enrichment Analysis Multi-omics SHapley Additive exPlanations
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