Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia-Reference-Cited by-同舟云学术

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Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia

Published:2020-01 Issue: Volume:183 Page:105073
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Li Gang,Han Depeng,Wang Chao,Hu Wenxing,Calhoun Vince D.,Wang Yu-Ping

Funder

Science and Technology Bureau of Xi'an

Fundamental Research Fund

s

for

the Central Universitie

CHD

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference46 articles.

1. Meta-analysis of whole-genome linkage scans of bipolar disorder and schizophrenia;Badner;Mol. Psychiatry,2002

2. Genomewide scan in families with schizophrenia fro the founder population of Afrikaners reveals evidence for linkage and uniparental disomy on chromosome 1;Abecasis;Am. J. Hum. Genet.,2004

3. Variation in DISC1 affects hippocampal structure and function and increases risk for schizophrenia;Callicott;Proc. Natl. Acad. Sci.,2005

4. The genetics and biology of Disc1— an emerging role in psychosis and cognition;Porteous;Biol. Psychiatry,2006

5. DNA copy-number analysis in bipolar disorder and schizophrenia reveals aberrations in genes involved in glutamate signaling;Wilson;Hum. Mol. Genet.,2006

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