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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
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 |
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