Amyotrophic lateral sclerosis diagnosis using machine learning and multi-omic data integration

Amyotrophic Lateral Sclerosis (ALS) is a complex and rare neurodegenerative disorder characterized by significant genetic, molecular, and clinical heterogeneity. Despite numerous endeavors to discover the genetic factors underlying ALS, a significant number of these factors remain unknown. This know...

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Bibliographic Details
Main Authors:	Hima Nikafshan Rad, Zheng Su, Anne Trinh, M.A. Hakim Newton, Jannah Shamsani, NYGC ALS Consortium, Abdul Karim, Abdul Sattar
Format:	Article
Language:	English
Published:	Elsevier 2024-10-01
Series:	Heliyon
Subjects:	ALS diagnosis Pathway level analysis Variational autoencoder Multi-omic integration
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024146142
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Amyotrophic lateral sclerosis diagnosis using machine learning and multi-omic data integration

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