Stochastic Orthogonal Projective Non-negative Matrix Factorization
Project description
SOPNMF
Stochastic orthogonally projective non-negative matrix factorization
About the project
SOPNMF is the python implementation of the Matlab version of Orthogonal Projective Non-negative Matrix Factorization: brainparts, and its stochastic extension.
:warning: The documentation of this software is currently under development
Citing this work
Junhao, W.E.N., Abdulkadir, A., Satterthwaite, T.D., Robert-Fitzgerald, T., Chen, J., Schnack, H., Zanetti, M., Meisenzahl, E., Busatto, G., Crespo-Facorro, B. and Pantelis, C., 2022. Novel genomic loci and pathways influence patterns of structural covariance in the human brain. medRxiv. - In review
Sotiras, A., Resnick, S.M. and Davatzikos, C., 2015. Finding imaging patterns of structural covariance via non-negative matrix factorization. Neuroimage, 108, pp.1-16. doi:10.1016/j.neuroimage.2014.11.045
Publications around SOPNMF
Wen, J., Varol, E., Sotiras, A., Yang, Z., Chand, G.B., Erus, G., Shou, H., Abdulkadir, A., Hwang, G., Dwyer, D.B. and Pigoni, A., 2022. Multi-scale semi-supervised clustering of brain images: deriving disease subtypes. Medical Image Analysis, 75, p.102304. - Link
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