Enhancing the Lasso Approach for Developing a Survival Prediction Model Based on Gene Expression Data

Figure 2

Trace plot of number of selected genes and estimated number of true positives (TP) produced by applying the proposed algorithm to the training data from the diffuse large B-cell lymphoma (DLBCL) dataset. We determined () as the optimum based on the estimated number of TP. Using cross-validation (CV), we determined () as the optimum .