Stochastic orthogonally projective non-negative matrix factorization
SOPNMF is the python implementation of the Matlab version of Orthogonal Projective Non-negative Matrix Factorization: brainparts, and its stochastic extension.
⚠️ Please let me know if you use this package for your publication; I will update your papers in the section of Publication around SOPNMF...
⚠️ Please cite the software using the Cite this repository button on the right sidebar menu, as well as the original papers below for different tasks...
Wen, J., Nasrallah, I.M., Abdulkadir, A., Satterthwaite, T.D., Yang, Z., Erus, G., Robert-Fitzgerald, T., Singh, A., Sotiras, A., Boquet-Pujadas, A. and Mamourian, E., 2023. Genomic loci influence patterns of structural covariance in the human brain. Proceedings of the National Academy of Sciences, 120(52), p.e2300842120. doi.org/10.1073/pnas.2300842120
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
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