The top five ranked subnetworks of each subnetwork category according to gene-gene expression correlation types and enrichment groups are shown with their sizes (numbers of genes in the subnetworks), enrichment scores (ES) and normalized enrichment scores (NES) from GSEA, and permutation scores. PPI and gene permutations indicate the permutation of a priori gene-gene relations and internal gene-gene correlations, which are the two main inputs for defining subnetworks, respectively. Nominal p-value and False Discovery Rate (FDR) are provided as significance measures.</p
<p>S-score comparison for the 50 top oncogenes and 50 top tumor suppressors between ER-PR- and ER+PR...
<p>(A) Comparison of hierarchical clustering of METABRIC data (left panel) and Perou data (right pan...
Comparison of gene expression of TCGA ovarian cancer sub-types by patient samples (top) and cell clu...
For each of the four lists of identified subnetworks in Fig 1B, we have plotted the ranked subnetwor...
A conceptual pipeline overview (A) and a specific application of the pipeline to our sample set of e...
Subnetworks identified from PPI and gene-gene expression correlations in primary tumors; PTME (A-C),...
We have identified nine highly connected and differentially expressed gene subnetworks between aggre...
Boxplots show signature scores for the nine detected subnetworks relative to stages of disease progr...
We have identified nine highly connected and differentially expressed gene subnetworks between aggre...
Cancers converge onto shared patterns that arise from constraints placed by the biology of the origi...
Kaplan Meier survival analysis plots display disease specific survival according to gene signature s...
<p>(A) Gene expression correlations between 61 matched primary and metastatic tumor samples for 90 g...
Cancers converge onto shared patterns that arise from constraints placed by the biology of the origi...
1<p>− hazard genes: number of genes that have a negative association between the hazard of ovarian c...
Correlations in gene expression (log2 [adjCPM-UQ + 1]) by cancer type/subtype or in normal tissue fo...
<p>S-score comparison for the 50 top oncogenes and 50 top tumor suppressors between ER-PR- and ER+PR...
<p>(A) Comparison of hierarchical clustering of METABRIC data (left panel) and Perou data (right pan...
Comparison of gene expression of TCGA ovarian cancer sub-types by patient samples (top) and cell clu...
For each of the four lists of identified subnetworks in Fig 1B, we have plotted the ranked subnetwor...
A conceptual pipeline overview (A) and a specific application of the pipeline to our sample set of e...
Subnetworks identified from PPI and gene-gene expression correlations in primary tumors; PTME (A-C),...
We have identified nine highly connected and differentially expressed gene subnetworks between aggre...
Boxplots show signature scores for the nine detected subnetworks relative to stages of disease progr...
We have identified nine highly connected and differentially expressed gene subnetworks between aggre...
Cancers converge onto shared patterns that arise from constraints placed by the biology of the origi...
Kaplan Meier survival analysis plots display disease specific survival according to gene signature s...
<p>(A) Gene expression correlations between 61 matched primary and metastatic tumor samples for 90 g...
Cancers converge onto shared patterns that arise from constraints placed by the biology of the origi...
1<p>− hazard genes: number of genes that have a negative association between the hazard of ovarian c...
Correlations in gene expression (log2 [adjCPM-UQ + 1]) by cancer type/subtype or in normal tissue fo...
<p>S-score comparison for the 50 top oncogenes and 50 top tumor suppressors between ER-PR- and ER+PR...
<p>(A) Comparison of hierarchical clustering of METABRIC data (left panel) and Perou data (right pan...
Comparison of gene expression of TCGA ovarian cancer sub-types by patient samples (top) and cell clu...