N-BiC: A method for multi-component and symptom biclustering of structural MRI data: Application to schizophrenia

OBJECTIVE: We propose and develop a novel biclustering (N-BiC) approach for performing N-way biclustering of neuroimaging data. Our approach is applicable to an arbitrary number of features from both imaging and behavioral data (e.g., symptoms). We applied it to structural MRI data from patients wit...

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Detalles Bibliográficos
Autores principales: Rahaman, Md Abdur, Turner, Jessica A., Gupta, Cota Navin, Rachakonda, Srinivas, Chen, Jiayu, Liu, Jingyu, van Erp, Theo G. M., Potkin, Steven, Ford, Judith, Mathalon, Daniel, Lee, Hyo Jong, Jiang, Wenhao, Mueller, Bryon A., Andreassen, Ole, Agartz, Ingrid, Sponheim, Scott R., Mayer, Andrew R., Stephen, Julia, Jung, Rex E., Canive, Jose, Bustillo, Juan, Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906485/
https://www.ncbi.nlm.nih.gov/pubmed/30946659
http://dx.doi.org/10.1109/TBME.2019.2908815

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906485/
https://www.ncbi.nlm.nih.gov/pubmed/30946659
http://dx.doi.org/10.1109/TBME.2019.2908815

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