<p>In each dataset, the following workflow was applied. 1. The dataset was used as a starting point to construct a gene coexpression network based on Topological Overlap between genes. TO determines similarity between gene expression profiles taking into account a systems level context. The network was next hierarchically clustered, resulting in a cluster dendrogram. 2. Using DynamicTreeCut algorithm, branches were identified in the dendrogram, leading to identification of gene coexpression modules. 3. Genes in each module were further prioritized by intramodular connectivity, providing a distinction between lowly and highly connected genes. The entire workflow was repeated independently for 82 datasets, resulting in a set of gene coexpress...
The model plant Arabidopsis has been well-studied using high-throughput genomics technologies, which...
The 3,600 most varying genes were used for a weighted gene coexpression network construction and sub...
Gene co-expression networks (GCNs) can be prepared using a variety of mathematical approaches based ...
<p>The network was constructed using gene expression data of 92 medicated schizophrenia cases and 78...
Gene co-expression networks (GCN), built using high-throughput gene expression data are fundamental ...
Motivation: Coexpression networks have recently emerged as a novel holistic approach to microarray d...
Motivation: Coexpression networks have recently emerged as a novel holistic approach to microarray d...
indicates the height at which the tree was cut to produce the distinct gene clusters (modules) as de...
indicates the height at which the tree was cut to produce the distinct gene clusters (modules) as de...
<p>(1) Human gene expression arrays for normal human tissues curated from GEO in Barcode 3.0 (2) The...
The dendrogram indicates the gene clustering based on the TOM dissimilarity measure and each line in...
We present an approach to extracting information from textual documents of biological knowledge and ...
<p>We generated networks with 3,776 genes. The largest gene network contained 2,717 genes. Genes (no...
<p>(<b>A</b>) Dendrogram shows the results of hierarchically clustering genes in the VSP. “Leaves” a...
<p>(A) Dendrogram of all differentially expressed probesets clustered based on a dissimilarity measu...
The model plant Arabidopsis has been well-studied using high-throughput genomics technologies, which...
The 3,600 most varying genes were used for a weighted gene coexpression network construction and sub...
Gene co-expression networks (GCNs) can be prepared using a variety of mathematical approaches based ...
<p>The network was constructed using gene expression data of 92 medicated schizophrenia cases and 78...
Gene co-expression networks (GCN), built using high-throughput gene expression data are fundamental ...
Motivation: Coexpression networks have recently emerged as a novel holistic approach to microarray d...
Motivation: Coexpression networks have recently emerged as a novel holistic approach to microarray d...
indicates the height at which the tree was cut to produce the distinct gene clusters (modules) as de...
indicates the height at which the tree was cut to produce the distinct gene clusters (modules) as de...
<p>(1) Human gene expression arrays for normal human tissues curated from GEO in Barcode 3.0 (2) The...
The dendrogram indicates the gene clustering based on the TOM dissimilarity measure and each line in...
We present an approach to extracting information from textual documents of biological knowledge and ...
<p>We generated networks with 3,776 genes. The largest gene network contained 2,717 genes. Genes (no...
<p>(<b>A</b>) Dendrogram shows the results of hierarchically clustering genes in the VSP. “Leaves” a...
<p>(A) Dendrogram of all differentially expressed probesets clustered based on a dissimilarity measu...
The model plant Arabidopsis has been well-studied using high-throughput genomics technologies, which...
The 3,600 most varying genes were used for a weighted gene coexpression network construction and sub...
Gene co-expression networks (GCNs) can be prepared using a variety of mathematical approaches based ...