Graph of reciprocal correlations between components computed with MSTD choice for the reduced dimension and the number of components. The size of the points reflects their stability (larger points corresponds to more stable components). The color and the width of the edges reflect the Pearson correlation coefficient. Propositions of annotations of the pseudo-cliques in the graph are made based on the comparison with previously annotated metagenes [3] and the analysis of the top contributing genes using hypergeometric test and the toppgene web tool [30]. (PDF 315Â kb
Performance curves of the re-sampling process that show the stability of the meta-analysis different...
Figure of Merit. The graph represents the measure of fit of the expression patterns for the clusters...
Significant genes found in the patterns associated to the progression of MDS: A total set of 189 gen...
Estimating MSTD dimension for six breast cancer datasets. The notations are the same as in Fig. 1. (...
Text S1. Axis labels for Figures in Paper. Table S1. MeSH Annotations of Representative Compendium S...
Correlation between the size of the giant component and the number of cycles in the giant component ...
Figure S1. The directed acyclic subgraph of the human cell hierarchical taxonomy graph. Figure S2 Th...
Distribution of the number of nodes per graph component. Expression and methylation levels were adju...
The number of the same chromosome probes pairs with shared QTL(s) from the final correlation list th...
Assortativity coefficient of haplotype networks of genes with an excess of squares. A graph is (dis)...
Table S1. Consensus sequence and gene rank correlation with case-control pairs using different metho...
Figure S2. Correlation of mutual information scores across platforms. Top and bottom panels show the...
Graph representation of the correlation structure for the same chromosome probe pairs with shared QT...
Table S7. Analysis of correlation between TE insertion and gene expression variance. Normalized GTEx...
Figure S3. Hierarchical clustering of expression levels, based on the rank of the count of exon per ...
Performance curves of the re-sampling process that show the stability of the meta-analysis different...
Figure of Merit. The graph represents the measure of fit of the expression patterns for the clusters...
Significant genes found in the patterns associated to the progression of MDS: A total set of 189 gen...
Estimating MSTD dimension for six breast cancer datasets. The notations are the same as in Fig. 1. (...
Text S1. Axis labels for Figures in Paper. Table S1. MeSH Annotations of Representative Compendium S...
Correlation between the size of the giant component and the number of cycles in the giant component ...
Figure S1. The directed acyclic subgraph of the human cell hierarchical taxonomy graph. Figure S2 Th...
Distribution of the number of nodes per graph component. Expression and methylation levels were adju...
The number of the same chromosome probes pairs with shared QTL(s) from the final correlation list th...
Assortativity coefficient of haplotype networks of genes with an excess of squares. A graph is (dis)...
Table S1. Consensus sequence and gene rank correlation with case-control pairs using different metho...
Figure S2. Correlation of mutual information scores across platforms. Top and bottom panels show the...
Graph representation of the correlation structure for the same chromosome probe pairs with shared QT...
Table S7. Analysis of correlation between TE insertion and gene expression variance. Normalized GTEx...
Figure S3. Hierarchical clustering of expression levels, based on the rank of the count of exon per ...
Performance curves of the re-sampling process that show the stability of the meta-analysis different...
Figure of Merit. The graph represents the measure of fit of the expression patterns for the clusters...
Significant genes found in the patterns associated to the progression of MDS: A total set of 189 gen...