An Ensemble Approach to Predict Schizophrenia Using Protein Data in the N-methyl-D-Aspartate Receptor (NMDAR) and Tryptophan Catabolic Pathways

An Ensemble Approach to Predict Schizophrenia Using Protein Data in the N-methyl-D-Aspartate Receptor (NMDAR) and Tryptophan Catabolic Pathways

In the wake of recent advances in artificial intelligence research, precision psychiatry using machine learning techniques represents a new paradigm. The D-amino acid oxidase (DAO) protein and its interaction partner, the D-amino acid oxidase activator (DAOA, also known as G72) protein, have been im...

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Bibliographic Details
Main Authors: Eugene Lin, Chieh-Hsin Lin, Chung-Chieh Hung, Hsien-Yuan Lane
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
ensemble boosting
multilayer feedforward neural networks
N-methyl-D-aspartate receptor
precision psychiatry
schizophrenia
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00569/full

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https://www.frontiersin.org/article/10.3389/fbioe.2020.00569/full

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