Research Article
Feature Selection for Longitudinal Data by Using Sign Averages to Summarize Gene Expression Values over Time
Table 2
Performance of the proposed method on the traumatic injury application and comparison with other methods.
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1BCM captures the average confidence that a sample belongs to class i when it indeed belongs to that class; 2AUPR is the average of for each class and it captures the ability of correctly ranking the samples known to belong in a given class; 3Sign Avg. & LASSO/CD: pseudo genes were obtained by calculating the sign average of a gene’s expression values across time, and the feature selection method is LASSO in which the optimization method used is coordinate descent; 4Sign Avg. & TGDR: pseudo genes were obtained by calculating the sign average of a gene’s expression values across time, and the feature selection/optimization method is threshold gradient descent regularization; 5LASSO/CD separately: separate LASSO models were trained at individual time points; the optimization method is CD; 6TGDR separately: separate TGDR models were trained at individual time points; the optimization method is TGDR; 7Mean & LASSO/CD: pseudo genes were obtained by calculating the average of a gene’s expression values across time, and the optimization method is CD; 8Mean & TGDR: pseudo genes were obtained by calculating the average of a gene’s expression values across time, and the optimization method is TGDR; 9Median & LASSO/CD: pseudo genes were obtained by calculating the median of a gene’s expression values across time, and the optimization method is CD; 10Median & TGDR: pseudo genes were obtained by calculating the median of a gene’s expression values across time, and the optimization method is TGDR; 11PC1 & LASSO/CD: pseudo genes obtained by calculating the first principal component of a gene’s expression values across time, and the optimization method is CD; 12PC1 & TGDR: pseudo genes were obtained by calculating the first principal component of a gene’s expression values across time, and the optimization method is TGDR. |