<p>Top 13 networks (ranked by size) were shown. The size of each circle represents the relative size of each network. The numbers inside the circles indicate the size of the network. The numbers above the connection line indicate the numbers of common genes shared by the two networks. Different top-enriched biological functions in each network were assigned with different colors. ECM: extracellular matrix construction. Parameter settings are: β = 0.8, γ = 0.8, λ = 2.0, t = 1.0 (for networks from cancer datasets); β = 0.8, γ = 0.7, λ = 2.0, t = 1.0 (for networks from normal tissue datasets).</p
(a) Protein network of cancer tissue containing candidates with MIC greater than 0.5; (b) Protein ne...
(a) miRNA network of cancer tissue containing candidates with MIC greater than 0.5; (b) miRNA networ...
Cancer cells exhibit a common phenotype of uncontrolled cell growth, but this phenotype may arise fr...
ABSTRACTIntroduction: Cancer is caused by genetic abnormalities, such as mutation of ontogenesis or ...
<p>Comparison of Cancer Network 1 with gene signatures from other cancer microarray studies.</p
Background Cancer, the disease of intricateness, has remained beyond our complete perception so far...
Relationship between MIC threshold and structure differences within the (a) miRNA network and (b) pr...
<p>Summary of co-expression networks identified from multiple cancer datasets vs. normal tissue data...
<p>Gene network generated through the use of IPA: The two highest scoring networks: Network <b>(A)</...
Cancer is a complex disease that results from alterations in genes that control the growth and divis...
(a) Illustration of network construction. The data from each layer is taken from the cohorts and use...
<p>The enriched KEGG pathways (p≤0.05) among the up-regulated metabolites (red squares), the down-re...
The multilayer networks were constructed for cancer tissue (a, c, e) and normal tissue (b, d, f) wit...
<p>Filled (red) circles indicate genes whose betweenness measure is at least 1.1 times as large in t...
Failure to adequately characterize cell lines, and understand the differences between in vitro and i...
(a) Protein network of cancer tissue containing candidates with MIC greater than 0.5; (b) Protein ne...
(a) miRNA network of cancer tissue containing candidates with MIC greater than 0.5; (b) miRNA networ...
Cancer cells exhibit a common phenotype of uncontrolled cell growth, but this phenotype may arise fr...
ABSTRACTIntroduction: Cancer is caused by genetic abnormalities, such as mutation of ontogenesis or ...
<p>Comparison of Cancer Network 1 with gene signatures from other cancer microarray studies.</p
Background Cancer, the disease of intricateness, has remained beyond our complete perception so far...
Relationship between MIC threshold and structure differences within the (a) miRNA network and (b) pr...
<p>Summary of co-expression networks identified from multiple cancer datasets vs. normal tissue data...
<p>Gene network generated through the use of IPA: The two highest scoring networks: Network <b>(A)</...
Cancer is a complex disease that results from alterations in genes that control the growth and divis...
(a) Illustration of network construction. The data from each layer is taken from the cohorts and use...
<p>The enriched KEGG pathways (p≤0.05) among the up-regulated metabolites (red squares), the down-re...
The multilayer networks were constructed for cancer tissue (a, c, e) and normal tissue (b, d, f) wit...
<p>Filled (red) circles indicate genes whose betweenness measure is at least 1.1 times as large in t...
Failure to adequately characterize cell lines, and understand the differences between in vitro and i...
(a) Protein network of cancer tissue containing candidates with MIC greater than 0.5; (b) Protein ne...
(a) miRNA network of cancer tissue containing candidates with MIC greater than 0.5; (b) miRNA networ...
Cancer cells exhibit a common phenotype of uncontrolled cell growth, but this phenotype may arise fr...