Transcriptomics and machine learning to advance schizophrenia genetics: A case-control study using post-mortem brain data-Reference-Cited by-同舟云学术

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Transcriptomics and machine learning to advance schizophrenia genetics: A case-control study using post-mortem brain data

Published:2022-02 Issue: Volume:214 Page:106590
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Qi Bill,Boscenco Sonia,Ramamurthy Janani,Trakadis Yannis J.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference54 articles.

1. Neurological, Psychiatric, and Developmental Disorders: Meeting the Challenge in the Developing World,2001

2. The Economic Burden of Schizophrenia in the United States in 2013;Cloutier;J. Clin. Psychiatry,2016

3. Heritability of Schizophrenia and Schizophrenia Spectrum Based on the Nationwide Danish Twin Register;Hilker;Biol. Psychiatry,2018

4. Biological insights from 108 schizophrenia-associated genetic loci;Nature,2014

5. Recent Advances in the Genetics of Schizophrenia;Avramopoulos;Mol. Neuropsychiatry,2018

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1. Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: A Scoping Review (Preprint);2024-05-30

2. Heart rate variability as a preictal marker for determining the laterality of seizure onset zone in frontal lobe epilepsy;Frontiers in Neuroscience;2024-05-09

3. Automatic recognition of schizophrenia from facial videos using 3D convolutional neural network;Asian Journal of Psychiatry;2022-11

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