Molecular Classification and Interpretation of Amyotrophic Lateral Sclerosis Using Deep Convolution Neural Networks and Shapley Values

Molecular Classification and Interpretation of Amyotrophic Lateral Sclerosis Using Deep Convolution Neural Networks and Shapley Values

Amyotrophic lateral sclerosis (ALS) is a prototypical neurodegenerative disease characterized by progressive degeneration of motor neurons to severely effect the functionality to control voluntary muscle movement. Most of the non-additive genetic aberrations responsible for ALS make its molecular cl...

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Auteurs principaux: Abdul Karim, Zheng Su, Phillip K. West, Matthew Keon, The NYGC ALS Consortium, Jannah Shamsani, Samuel Brennan, Ted Wong, Ognjen Milicevic, Guus Teunisse, Hima Nikafshan Rad, Abdul Sattar
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
machine learning
ALS
classification
interpretation
target identification
Genetics
QH426-470
Accès en ligne:https://doaj.org/article/97d17789761541b2810bd6763781cc5c
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https://doaj.org/article/97d17789761541b2810bd6763781cc5c

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