<p>Percentage of correct predictions for the breast cancer genotype data using single-task, multi-task, and concatenated models.</p
<p>(a) Gene-profile accuracy as a function of . (b) Gene-profile accuracy for each time point.</p
<p>Univariate and multivariate analysis by binary logistic regression to calculate significance leve...
<p>The prediction accuracy of the identified gene combinations on TCGA microarray data.</p
<p>Percentage of correct predictions for the breast cancer expression data using single-task, multi-...
<p>Percentage of correct predictions with standard error for the genotype data using single-task, mu...
<p>Percentage of correct predictions for the breast cancer data using summed prediction, summed enri...
<p>Percentage of correct predictions with standard error for the genotype data using single-task, mu...
<p>Percentage of correct predictions with standard error for the expression data using single-task, ...
<p>For the breast cancer datasets, average fraction over all 100 datasets of the total number of pat...
<p>Prediction accuracy and numbers of variable selected at least 5 times and always selected in the ...
(A) ROC curves for simulated whole-exome sequencing data, for one cancer type versus all others. Are...
<p>Classification models are setup based on the best training. In each column, the best combination ...
Every 12 minutes, 12 women are diagnosed with breast cancer in the US, and 1 dies out of it. Globall...
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
Performance metrics for the logistic regression models predicting breast cancerb'*'.</p
<p>(a) Gene-profile accuracy as a function of . (b) Gene-profile accuracy for each time point.</p
<p>Univariate and multivariate analysis by binary logistic regression to calculate significance leve...
<p>The prediction accuracy of the identified gene combinations on TCGA microarray data.</p
<p>Percentage of correct predictions for the breast cancer expression data using single-task, multi-...
<p>Percentage of correct predictions with standard error for the genotype data using single-task, mu...
<p>Percentage of correct predictions for the breast cancer data using summed prediction, summed enri...
<p>Percentage of correct predictions with standard error for the genotype data using single-task, mu...
<p>Percentage of correct predictions with standard error for the expression data using single-task, ...
<p>For the breast cancer datasets, average fraction over all 100 datasets of the total number of pat...
<p>Prediction accuracy and numbers of variable selected at least 5 times and always selected in the ...
(A) ROC curves for simulated whole-exome sequencing data, for one cancer type versus all others. Are...
<p>Classification models are setup based on the best training. In each column, the best combination ...
Every 12 minutes, 12 women are diagnosed with breast cancer in the US, and 1 dies out of it. Globall...
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
Performance metrics for the logistic regression models predicting breast cancerb'*'.</p
<p>(a) Gene-profile accuracy as a function of . (b) Gene-profile accuracy for each time point.</p
<p>Univariate and multivariate analysis by binary logistic regression to calculate significance leve...
<p>The prediction accuracy of the identified gene combinations on TCGA microarray data.</p
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