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

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Title: Genomic insights and advanced machine learning: characterizing autism spectrum disorder biomarkers and genetic interactions.
Authors: Nahas LD; Biosciences Department, Durham University, Durham, UK., Datta A; Laboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India., Alsamman AM; Agricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt., Adly MH; Agricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt., Al-Dewik N; Department of Research, Women's Wellness and Research Center, Hamad Medical Corporation, Doha, Qatar., Sekaran K; Laboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.; Center for Brain Research, Indian Institute of Science, Bengaluru, India., Sasikumar K; Department of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Verma K; Department of parasitology and host biology ICMR-NIMR, Dwarka, Delhi, India., Doss GPC; Laboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India., Zayed H; Department of Biomedical Sciences College of Health Sciences, QU Health, Qatar University, Doha, Qatar. hatem.zayed@qu.edu.qa.
Source: Metabolic brain disease [Metab Brain Dis] 2024 Jan; Vol. 39 (1), pp. 29-42. Date of Electronic Publication: 2023 Dec 28.
Publication Type: Meta-Analysis; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 8610370 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7365 (Electronic) Linking ISSN: 08857490 NLM ISO Abbreviation: Metab Brain Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1573-7365
DOI:10.1007/s11011-023-01322-3