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ANNSCGP

Supervised Artificial Neural Network with Selective Connection based on Gene Patterns

ANNSCGP proposes a supervised Artificial Neural Network with Selective Connection based on Gene Patterns (ANN-SCGP) model using Omics-data

To start ANNSCGP, you can download Binary package named "ANNSCGP_1.0.0.zip" for Windows or Source package named "ANNSCGP_1.0.0.tar.gz" for Linux and Windows. Next, you can install this zip file in R or Rstudio. You can install it with the following R codes：

install.packages("File path/ANNSCGP_1.0.0.zip", repos = NULL, type = "win.binary") or install.packages("File path/ANNSCGP_1.0.0.tar.gz", repos = NULL, type = "source")

then

library(ANNSCGP)

Vignette

Please download vignettes.pdf or vignettes.html to see how the package is used.

Cite

Please cite "Zihang Zeng, Maoling Luo, Yangyi Li et al. Prediction of Radiosensitivity and Radiocurability Using a Novel Supervised Artificial Neural Network. BMC Cancer. 2022"