Skip to content

Latest commit

 

History

History
14 lines (12 loc) · 1.54 KB

README.md

File metadata and controls

14 lines (12 loc) · 1.54 KB

Urman_and_Herranz_etal_2020

Trained and ready to use Neural Networks and Script for synthetic data generation and Neural Network train and validation of already selected features.
Please to load the trained model in R use:
Chosen_Model<-readRDS("Downloaded_Model_Name.rds")

To predict outcomes from your data use:
Predictions<-predict(Chosen_Model, Newdata)

Legend:
Model                         Outcome             Meanning
Lipids_PDAC_NN                   1             PDAC otherwise (0) Control
Lipids_CCA_NN                     0             CCA otherwise (1) Control
Proteomics_PDAC_NN          0             CCA otherwise (1) Control
Proteomics_CCA_NN             1             PDAC otherwise (0) Control