The views obtained on the DREAM5 dataset by clustering using K-means.

<p>The views obtained on the DREAM5 dataset by clustering using K-means.</p

AUROC and AUPRC graphs for the SynTReN Yeast dataset with noise level 0.5.

<p>The three columns of graphs represent results obtained with different numbers of genes in the dataset (100, 150 and 200, from left to right). Each graph represents box plots for (from left to right) Borda, TopK, 1VI with <i>δ</i> = 0.005, GENERE with <i>δ</i> = 0.005 and <i>V</i> ∈ {1, 2, 3, 4, 5}, 1VI with <i>δ</i> = 0.01, GENERE with <i>δ</i> = 0.01 and <i>V</i> ∈ {1, 2, 3, 4, 5}. The views are obtained with PCA. The boxplots for GENERE depict the distribution of AUROC/AUPRC values obtained by varying the number of iterations in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref001" target="_blank">1</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref030" target="_blank">30</a>]. The boxplots for TopK depict the distribution of AUROC/AUPRC obtained by varying the value of k in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref001" target="_blank">1</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref020" target="_blank">20</a>].</p

AUROC and AUPRC graphs for the SynTReN EColi dataset with noise level 0.5.

<p>The three columns of graphs represent results obtained with different numbers of genes in the dataset (100, 150 and 200, from left to right). Each graph represents box plots for (from left to right) Borda, TopK, 1VI with <i>δ</i> = 0.005, GENERE with <i>δ</i> = 0.005 and <i>V</i> ∈ {1, 2, 3, 4, 5}, 1VI with <i>δ</i> = 0.01, GENERE with <i>δ</i> = 0.01 and <i>V</i> ∈ {1, 2, 3, 4, 5}. The views are obtained with K-means. The boxplots for GENERE depict the distribution of AUROC/AUPRC values obtained by varying the number of iterations in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref001" target="_blank">1</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref030" target="_blank">30</a>]. The boxplots for TopK depict the distribution of AUROC/AUPRC obtained by varying the value of k in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref001" target="_blank">1</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref020" target="_blank">20</a>].</p

Number of wins, in terms of AUROC (primary <i>Y</i>-axis, blue histograms) and average AUROC (secondary <i>Y</i>-axis, red and grey lines), obtained for SynTReN <i>EColi</i> (a), SynTReN <i>Yeast</i> (b), <i>D5InSilico</i> (c), <i>D5Ecoli</i> (d) and <i>D5Yeast</i> (e) obtained by varying the number of iterations (<i>X</i>-axis) from 0 to 30 for the SynTReN datasets and from 0 to 5 for the DREAM5 datasets.

<p>The red lines represent the average AUROC with <i>δ</i> = 0.5%, whereas the gray lines represent the average AUROC with <i>δ</i> = 1.0%. Views are obtained with K-means.</p

Boletín de Segovia: Número 43 - 1876 abril 11

Copia digital. Madrid : Ministerio de Cultura. Subdirección General de Coordinación Bibliotecaria, 200

Adjusted <i>p</i>-values of the Wilcoxon signed rank test performed to compare GENERE with Borda, TopK and 1VI in terms of AUROC.

<p>Statistically significant values (<0.05) are shown in bold. Italic values indicates that the competitor outperforms GENERE. <i>p</i>-values are computed by considering the median value over the results obtained with different values of the number of iterations for GENERE, and over the results obtained with different values of k for TopK. Views are obtained with K-means.</p

Boletín de Segovia: Número 22 - 1876 febrero 21

Copia digital. Madrid : Ministerio de Cultura. Subdirección General de Coordinación Bibliotecaria, 200

AUROC and AUPRC graphs for the DREAM5 datasets.

<p>The three columns of graphs represent results obtained on D5InSilico, D5EColi and D5Yeast, from left to right. Each graph represents box plots for (from left to right) Borda, TopK, 1VI with <i>δ</i> = 0.005, GENERE with <i>δ</i> = 0.005 and <i>V</i> ∈ {1, 2, 3, 4, 5}, 1VI with <i>δ</i> = 0.01, GENERE with <i>δ</i> = 0.01 and <i>V</i> ∈ {1, 2, 3, 4, 5}. The views are obtained with K-means. The boxplots for GENERE depict the distribution of AUROC/AUPRC values obtained by varying the number of iterations in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref001" target="_blank">1</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref005" target="_blank">5</a>]. The boxplots for TopK depict the distribution of AUROC/AUPRC obtained by varying the value of k in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref001" target="_blank">1</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0144031#pone.0144031.ref020" target="_blank">20</a>].</p

General workflow of GENERE approach that learns to combine the predictions of different GRN reconstruction methods.

<p>General workflow of GENERE approach that learns to combine the predictions of different GRN reconstruction methods.</p

The views obtained on the DREAM5 dataset by clustering using PCA.

<p>The views obtained on the DREAM5 dataset by clustering using PCA.</p