README.md

In SCFA: SCFA: Subtyping via Consensus Factor Analysis

SCFA

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.

How to install

• The package can be installed from this repository.
• Install devtools: utils::install.packages('devtools')
• Install the package using: devtools::install_github('duct317/SCFA')
• Install tensorflow and keras in python using: keras::install_keras(tensorflow = "1.10.0")
• For more information about installation of keras, please visit https://keras.rstudio.com/

Example

Please follow the vignette to run the package on example data.

Citation:

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)

SCFA documentation built on Nov. 8, 2020, 6:58 p.m.