Variable selection results: Average of T.P and T.N.

<p>Variable selection results: Average of T.P and T.N.</p

Running timings for regression modeling for <i>σ</i> = 1 via <i>glmnet</i> package in R (unit: minute).

<p>Running timings for regression modeling for <i>σ</i> = 1 via <i>glmnet</i> package in R (unit: minute).</p

Network for selected driver genes and genes having PPI with identified driver genes.

<p>Network for selected driver genes and genes having PPI with identified driver genes.</p

Average of root mean squared errors of 99 regression models and average of running timings (unit: minute).

<p>Average of root mean squared errors of 99 regression models and average of running timings (unit: minute).</p

Prediction error: Root mean squared error.

<p>Prediction error: Root mean squared error.</p

Coefficient functions of varying coefficient model.

<p>Coefficient functions of varying coefficient model.</p

Sorted <i>C^dr</i> values of 138 dataset.

<p>Sorted <i>C^dr</i> values of 138 dataset.</p

Iteration for coefficients in the regularized regression modeling with lasso (i.e., <i>δ</i> = 1) penalty.

<p>Iteration for coefficients in the regularized regression modeling with lasso (i.e., <i>δ</i> = 1) penalty.</p

Comparison of prediction accuracy of drug sensitivity.

<p>Comparison of prediction accuracy of drug sensitivity.</p

Prediction results of drug sensitivity by using NetworkProfiler based on 133 and 500 genes.

<p>Prediction results of drug sensitivity by using NetworkProfiler based on 133 and 500 genes.</p