Sparse deep neural networks on imaging genetics for schizophrenia case–control classification

Deep learning methods hold strong promise for identifying biomarkers for clinical application. However, current approaches for psychiatric classification or prediction do not allow direct interpretation of original features. In the present study, we introduce a sparse deep neural network (DNN) appro...

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Gepubliceerd in:Hum Brain Mapp
Hoofdauteurs: Chen, Jiayu, Li, Xiang, Calhoun, Vince D., Turner, Jessica A., van Erp, Theo G. M., Wang, Lei, Andreassen, Ole A., Agartz, Ingrid, Westlye, Lars T., Jönsson, Erik, Ford, Judith M., Mathalon, Daniel H., Macciardi, Fabio, O'Leary, Daniel S., Liu, Jingyu, Ji, Shihao
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: John Wiley & Sons, Inc. 2021
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Research Articles
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8090768/
https://ncbi.nlm.nih.gov/pubmed/33724588
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.25387
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