A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia

We demonstrate a hybrid machine learning method to classify schizophrenia patients and healthy controls, using functional magnetic resonance imaging (fMRI) and single nucleotide polymorphism (SNP) data. The method consists of four stages: (1) SNPs with the most discriminating information between the...

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Detalles Bibliográficos
Autores principales: Yang, Honghui, Liu, Jingyu, Sui, Jing, Pearlson, Godfrey, Calhoun, Vince D.
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990459/
https://www.ncbi.nlm.nih.gov/pubmed/21119772
http://dx.doi.org/10.3389/fnhum.2010.00192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990459/
https://www.ncbi.nlm.nih.gov/pubmed/21119772
http://dx.doi.org/10.3389/fnhum.2010.00192

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