Subtyping via Consensus Factor Analysis (SCFA) can efficiently remove noisy signals from consistent molecular patterns in order to reliably identify cancer subtypes and accurately predict risk scores of patients.
- The package can be installed from this repository.
- Install devtools:
utils::install.packages('devtools') - Install the package using:
devtools::install_github('duct317/SCFA') - When the package is loaded, it will check for the necessary
libtorch:library(SCFA)
libtorchcan be installed using:torch::install_torch()
Please follow the vignette to run the package on example data.
Tran, D., Nguyen, H., Le, U., Bebis, G., Luu, H. N., & Nguyen, T. (2020). A Novel Method for Cancer Subtyping and Risk Prediction Using Consensus Factor Analysis, Frontiers in Oncology, 10, 1052. (link)