<p>For ovarian cancer, we compared the performance of gene-miRNA modules generated from four cases: SCC with GGI information, SCC without GGI information, PCC with GGI information, and PCC without GGI information. For all cases, the <i>x</i>-axis presents different percentages of candidate miRNAs (<i>T</i>%) among all miRNAs when constructing gene-miRNA modules. For each case, the number of modules (A), the ratios of cancer genes (B), the ratios of ovarian cancer genes (C), the ratios of ovarian cancer miRNAs (D), the average number of enriched pathways (E), and the ratios of modules enriched with at least one pathway (F) are shown.</p
Additional contributors: Gang Fang; Michael Steinbach (faculty mentor)Ovarian Cancer is the most let...
The Cancer Genome Atlas (TCGA) Network recently comprehensively catalogued the molecular aberrations...
<p><sup><i>a</i></sup>Several ovarian cancer modules are shown with enriched</p><p><sup><i>b</i></su...
<p>Comparison of modules identified using our approach and the NMF approach using ovarian cancer dat...
<p><sup><i>a</i></sup>Num1 represents the number of cancer genes / the number of all genes in a modu...
<p>(A) The Venn diagram shows the number miRNAs differentially expressed in ovarian cell lines, in o...
International audienceObjective: MicroRNAs (miRNAs) are promising biomarkers in ovarian cancer. Thei...
Dysregulated microRNA (miRNA) expression is a well-established feature of human cancer. However, the...
<p>A) The plot of miRNA assays used to profile compared samples: fold change (y-axis) against normal...
<p><sup><i>a</i></sup>m,</p><p><sup><i>b</i></sup>k, and</p><p><sup><i>c</i></sup>x represent the nu...
<p>Genes upregulated and miRNAs downregulated in late stage Epithelial Ovarian Cancer (EOC) compared...
<p>In this network, diamonds represent miRNAs: sky-blue nodes for ovarian cancer miRNAs from the HMD...
<p>Experimentally validated gene-miRNA interactions with strong evidence from miRTarbase in ovarian ...
<div><p>MicroRNAs (miRNAs) play key roles in the initiation and progression of various cancers by re...
<p>(<b>A</b>) MiRNAs and their predicted gene targets tend to be anti-correlated within ovarian tumo...
Additional contributors: Gang Fang; Michael Steinbach (faculty mentor)Ovarian Cancer is the most let...
The Cancer Genome Atlas (TCGA) Network recently comprehensively catalogued the molecular aberrations...
<p><sup><i>a</i></sup>Several ovarian cancer modules are shown with enriched</p><p><sup><i>b</i></su...
<p>Comparison of modules identified using our approach and the NMF approach using ovarian cancer dat...
<p><sup><i>a</i></sup>Num1 represents the number of cancer genes / the number of all genes in a modu...
<p>(A) The Venn diagram shows the number miRNAs differentially expressed in ovarian cell lines, in o...
International audienceObjective: MicroRNAs (miRNAs) are promising biomarkers in ovarian cancer. Thei...
Dysregulated microRNA (miRNA) expression is a well-established feature of human cancer. However, the...
<p>A) The plot of miRNA assays used to profile compared samples: fold change (y-axis) against normal...
<p><sup><i>a</i></sup>m,</p><p><sup><i>b</i></sup>k, and</p><p><sup><i>c</i></sup>x represent the nu...
<p>Genes upregulated and miRNAs downregulated in late stage Epithelial Ovarian Cancer (EOC) compared...
<p>In this network, diamonds represent miRNAs: sky-blue nodes for ovarian cancer miRNAs from the HMD...
<p>Experimentally validated gene-miRNA interactions with strong evidence from miRTarbase in ovarian ...
<div><p>MicroRNAs (miRNAs) play key roles in the initiation and progression of various cancers by re...
<p>(<b>A</b>) MiRNAs and their predicted gene targets tend to be anti-correlated within ovarian tumo...
Additional contributors: Gang Fang; Michael Steinbach (faculty mentor)Ovarian Cancer is the most let...
The Cancer Genome Atlas (TCGA) Network recently comprehensively catalogued the molecular aberrations...
<p><sup><i>a</i></sup>Several ovarian cancer modules are shown with enriched</p><p><sup><i>b</i></su...