<p>I: gene expression, II: combination of gene expression, and genome CNA, III: combination of gene expression, genome CNA, and miRNA analysis, IV: miRNA (from miRNA-regultated mRNA). Classification performances were showed for: cross-validation (CV), and training on G1*–G3* - testing on G1–G3 (TT).</p
<p>(A) Heatmap for clustering analysis of the differentially expressed known miRNAs. The bar represe...
<p>(<b>a</b>) Clustered heatmaps of the predicted genes (columns) reveal that two best-performer tea...
<p>The data set is indicated on the left above the relevant heat-map. The LMT_J48_RF100_SMO (later r...
<p>III: combination of gene expression - genome CNA, and miRNA analysis, V: a down-sized gene signat...
<p>The computational times required by the classification algorithm for the different proposed appro...
<p>Classification performances (mRNA and miRNA): computational time (sec, execution time/number of s...
<p>(<b>A</b>) The four heatmaps show the predictions resulting from diverse binary classifiers for t...
(A) Heat map analysis of differentially expressed miRNAs in three groups (normal group N: Normal, ac...
<p>a) Information of the model selection showing 65 variables and a top classification model with 2-...
<p>Number of significant models, scaled mean squared prediction error from cross-validation (cv-SMSE...
<p>Shown is the mean performance for each machine learning method (see <a href="http://www.plosone.o...
<p>(A) Heat-map representation of significantly deregulated miRNAs in recurrent PCa specimens vs. no...
<p>A heat map was constructed using an R script based on the 23 biological processes of the 6,001 mi...
<p>Pairwise heatmap showing miRNAs and their correlation coefficient and p-values.</p
<p>Heat map of β<sub>2</sub> values of 62 genes that were present in more than 20% of the 500 repeat...
<p>(A) Heatmap for clustering analysis of the differentially expressed known miRNAs. The bar represe...
<p>(<b>a</b>) Clustered heatmaps of the predicted genes (columns) reveal that two best-performer tea...
<p>The data set is indicated on the left above the relevant heat-map. The LMT_J48_RF100_SMO (later r...
<p>III: combination of gene expression - genome CNA, and miRNA analysis, V: a down-sized gene signat...
<p>The computational times required by the classification algorithm for the different proposed appro...
<p>Classification performances (mRNA and miRNA): computational time (sec, execution time/number of s...
<p>(<b>A</b>) The four heatmaps show the predictions resulting from diverse binary classifiers for t...
(A) Heat map analysis of differentially expressed miRNAs in three groups (normal group N: Normal, ac...
<p>a) Information of the model selection showing 65 variables and a top classification model with 2-...
<p>Number of significant models, scaled mean squared prediction error from cross-validation (cv-SMSE...
<p>Shown is the mean performance for each machine learning method (see <a href="http://www.plosone.o...
<p>(A) Heat-map representation of significantly deregulated miRNAs in recurrent PCa specimens vs. no...
<p>A heat map was constructed using an R script based on the 23 biological processes of the 6,001 mi...
<p>Pairwise heatmap showing miRNAs and their correlation coefficient and p-values.</p
<p>Heat map of β<sub>2</sub> values of 62 genes that were present in more than 20% of the 500 repeat...
<p>(A) Heatmap for clustering analysis of the differentially expressed known miRNAs. The bar represe...
<p>(<b>a</b>) Clustered heatmaps of the predicted genes (columns) reveal that two best-performer tea...
<p>The data set is indicated on the left above the relevant heat-map. The LMT_J48_RF100_SMO (later r...