| Name : R-scapGNN
| |
| Version : 0.1.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.7.3
| Date : 2024-06-14 12:09:36
|
| Group : Development/Libraries/Other
| Source RPM : R-scapGNN-0.1.4-lp153.7.3.src.rpm
|
| Size : 4.80 MB
| |
| Packager : (none)
| |
| Summary : Graph Neural Network-Based Framework for Single Cell Active Pathways and Gene Modules Analysis
|
Description :
It is a single cell active pathway analysis tool based on the graph
neural network (F. Scarselli (2009) < doi:10.1109/TNN.2008.2005605>
Thomas N. Kipf (2017) < arXiv:1609.02907v4>) to construct the gene-cell
association network, infer pathway activity scores from different
single cell modalities data, integrate multiple modality data on the
same cells into one pathway activity score matrix, identify cell
phenotype activated gene modules and parse association networks of gene
modules under multiple cell phenotype. In addition, abundant
visualization programs are provided to display the results.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
