| Name : R-LOCUS
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.8
| Date : 2024-06-14 11:14:18
|
| Group : Development/Libraries/Other
| Source RPM : R-LOCUS-1.0-lp153.1.8.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Low-Rank Decomposition of Brain Connectivity Matrices with Uniform Sparsity
|
Description :
To decompose symmetric matrices such as brain connectivity matrices so
that one can extract sparse latent component matrices and also estimate
mixing coefficients, a blind source separation (BSS) method named LOCUS
was proposed in Wang and Guo (2023) < arXiv:2008.08915>. For brain
connectivity matrices, the outputs correspond to sparse latent
connectivity traits and individual-level trait loadings.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
