Identification of Immune-Related Biomarkers of Schizophrenia in the Central Nervous System Using Bioinformatic Methods and Machine Learning Algorithms

Schizophrenia is a disastrous mental disorder. Identification of diagnostic biomarkers and therapeutic targets is of significant importance. In this study, five datasets of schizophrenia post-mortem prefrontal cortex samples were downloaded from the GEO database and then merged and de-batched for th...

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Veröffentlicht in:	Molecular neurobiology Jg. 62; H. 3; S. 3226 - 3243
Hauptverfasser:	Weng, Jianjun, Zhu, Xiaoli, Ouyang, Yu, Liu, Yanqing, Lu, Hongmei, Yao, Jiakui, Pan, Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2025 Springer Nature B.V
Schlagworte:	Algorithms Animals Biomarkers Biomarkers - metabolism Biomedical and Life Sciences Biomedicine Cell Biology Central nervous system Central Nervous System - immunology Central Nervous System - metabolism Computational Biology - methods CXCL11 protein Gene Expression Profiling Gene Regulatory Networks Genes Humans Learning algorithms Machine Learning Mental disorders Neurobiology Neurology Neurosciences Prefrontal cortex Rats Risperidone Schizophrenia Schizophrenia - genetics Schizophrenia - immunology Therapeutic targets EIF4A2 Schizophrenia Immune-related biomarkers WGCNA Machine learning
ISSN:	0893-7648, 1559-1182, 1559-1182
Online-Zugang:	Volltext
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