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Table 2 Performance of the 16 ML-CDN models

From: Predicting breast cancer drug response using a multiple-layer cell line drug response network model

CSN

DSN

RMSE

R

CSNcnv

DSNstru

0.513

0.864

CSNcnv

DSNtarg

0.562

0.834

CSNcnv

DSNsens

0.504

0.869

CSNcnv

DSNF

0.504

0.869

CSNmut

DSNstru

0.513

0.864

CSNmut

DSNtarg

0.562

0.834

CSNmut

DSNsens

0.505

0.869

CSNmut

DSNF

0.504

0.869

CSNpath

DSNstru

0.510

0.866

CSNpath

DSNtarg

0.563

0.833

CSNpath

DSNsens

0.496

0.873

CSNpath

DSNF

0.497

0.873

CSNF

DSNstru

0.511

0.865

CSNF

DSNtarg

0.561

0.834

CSNF

DSNsens

0.496

0.873

CSNF

DSNF

0.493

0.875

  1. R Pearson correlation coefficient, RMSE Root mean squared error