Graph Neural Network-Based Framework for Single Cell Active Pathways and Gene Modules Analysis

It is a single cell active pathway analysis tool based on the graph neural network (F. Scarselli (2009) ; Thomas N. Kipf (2017) ) 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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("scapGNN")

0.1.4 by Xudong Han, 3 years ago


Browse source code at https://github.com/cran/scapGNN


Authors: Xudong Han [aut, cre, cph] , Xujiang Guo [fnd]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ActivePathways, AdaptGauss, coop, igraph, mixtools, reticulate, methods

Suggests rmarkdown, knitr


See at CRAN