<p>The gene list of each GO term clustered using DAVID was compared to calculate the distance between the GO terms. For a distance value of > 0.4~0.5, GO terms were re-clustered, and GO term groups are shown in boxes. The representative GO terms manually selected are shown in red. The numbers of genes in the GO terms are in brackets with the corresponding <i>p</i>-values.</p
<p>Enrichment score is a –Log10 of a geometric mean of individual <i>p</i> reported for individual G...
<p>Categorization of GO terms with a p-value greater than or equal to 1: cellular component terms (A...
<p>Concatenated enrichment profiles for GO, C2, and TF gene set collections, similar to <a href="htt...
Abstract:- The hierarchical clustering algorithm has frequently been applied to grouping genes shari...
<p>Annotated differentially expressed genes with a muscle fold change above 1.5 were clustered based...
We concatenated the expression data of the 1106 genes (left after pruning based coefficient of varia...
Abstract:- In this paper it is explained a new approach for clustering Gene Ontology (GO) terms by e...
1<p>Differentially expressed genes were clustered using GO BP terms semantic similarity between gene...
<p>GO terms were clustered utilizing software BINGO and individual clusters indicated as shown in th...
<p>Clustering was performed by using Spearman (columns) and Euclidean (rows) distance and average li...
Motivation: With the advent of DNA microarray technologies, the parallel quantification of genome-wi...
Hierarchical clustering is widely used to find patterns in multi-dimensional datasets, especially fo...
<p>Each node represents one GO term. The thickness of the edges represents the number of genes share...
Gene ontology (GO) clustering and selected significantly enriched GO terms of DMCs and DMR-associate...
Semi-supervised clustering incorporating biological relevance as a prior knowledge has been favoured...
<p>Enrichment score is a –Log10 of a geometric mean of individual <i>p</i> reported for individual G...
<p>Categorization of GO terms with a p-value greater than or equal to 1: cellular component terms (A...
<p>Concatenated enrichment profiles for GO, C2, and TF gene set collections, similar to <a href="htt...
Abstract:- The hierarchical clustering algorithm has frequently been applied to grouping genes shari...
<p>Annotated differentially expressed genes with a muscle fold change above 1.5 were clustered based...
We concatenated the expression data of the 1106 genes (left after pruning based coefficient of varia...
Abstract:- In this paper it is explained a new approach for clustering Gene Ontology (GO) terms by e...
1<p>Differentially expressed genes were clustered using GO BP terms semantic similarity between gene...
<p>GO terms were clustered utilizing software BINGO and individual clusters indicated as shown in th...
<p>Clustering was performed by using Spearman (columns) and Euclidean (rows) distance and average li...
Motivation: With the advent of DNA microarray technologies, the parallel quantification of genome-wi...
Hierarchical clustering is widely used to find patterns in multi-dimensional datasets, especially fo...
<p>Each node represents one GO term. The thickness of the edges represents the number of genes share...
Gene ontology (GO) clustering and selected significantly enriched GO terms of DMCs and DMR-associate...
Semi-supervised clustering incorporating biological relevance as a prior knowledge has been favoured...
<p>Enrichment score is a –Log10 of a geometric mean of individual <i>p</i> reported for individual G...
<p>Categorization of GO terms with a p-value greater than or equal to 1: cellular component terms (A...
<p>Concatenated enrichment profiles for GO, C2, and TF gene set collections, similar to <a href="htt...