<p><b>Copyright information:</b></p><p>Taken from "Protein annotation as term categorization in the gene ontology using word proximity networks"</p><p></p><p>BMC Bioinformatics 2005;6(Suppl 1):S20-S20.</p><p>Published online 24 May 2005</p><p>PMCID:PMC1869013.</p><p></p> The blue nodes denote the words that co-occur very frequently (> 0.5) with at least one of the red nodes: the co-occurrence neighborhood of the GO words. The green nodes denote the additional words discovered by our algorithm as described in the text. Only edges with > 0.3 are shown
Background: Current methods to find significantly under- and over-represented gene ontology (GO) ter...
<p>Enrichment of highly co-expressed interactions among sets of genes in the network was calculated ...
<p>The graphs show the percentages of corresponding GO terms to the total number of annotated protei...
BACKGROUND: We participated in the BioCreAtIvE Task 2, which addressed the annotation of proteins in...
<p><b>Copyright information:</b></p><p>Taken from "Protein annotation as term categorization in the ...
<p>The GO terms are represented by circles, visualized in a semantic similarity-based scatter plot, ...
<p><b>Copyright information:</b></p><p>Taken from "Automatic extraction of gene ontology annotation ...
<p>Each node represents a different GO term, the size of the node relates to the level of enrichment...
<p>Associated GO terms for molecular function are shown by nodes (circles) and related to one anothe...
Abstract Background Uncovering cellular roles of a protein is a task of tremendous importance and co...
<p>The differential genes in different interactomes were annotated in the context of the GO and KEGG...
International audienceAbstract Background Automatic functional annotation of proteins is an open res...
<p>Network representations of enriched GO categories among the genes that were differentially regula...
In this paper, we propose an approach for doing Gene Ontology (GO) annotation on full-text biomedica...
<p>Network representations of enriched GO categories among genes that were differentially regulated ...
Background: Current methods to find significantly under- and over-represented gene ontology (GO) ter...
<p>Enrichment of highly co-expressed interactions among sets of genes in the network was calculated ...
<p>The graphs show the percentages of corresponding GO terms to the total number of annotated protei...
BACKGROUND: We participated in the BioCreAtIvE Task 2, which addressed the annotation of proteins in...
<p><b>Copyright information:</b></p><p>Taken from "Protein annotation as term categorization in the ...
<p>The GO terms are represented by circles, visualized in a semantic similarity-based scatter plot, ...
<p><b>Copyright information:</b></p><p>Taken from "Automatic extraction of gene ontology annotation ...
<p>Each node represents a different GO term, the size of the node relates to the level of enrichment...
<p>Associated GO terms for molecular function are shown by nodes (circles) and related to one anothe...
Abstract Background Uncovering cellular roles of a protein is a task of tremendous importance and co...
<p>The differential genes in different interactomes were annotated in the context of the GO and KEGG...
International audienceAbstract Background Automatic functional annotation of proteins is an open res...
<p>Network representations of enriched GO categories among the genes that were differentially regula...
In this paper, we propose an approach for doing Gene Ontology (GO) annotation on full-text biomedica...
<p>Network representations of enriched GO categories among genes that were differentially regulated ...
Background: Current methods to find significantly under- and over-represented gene ontology (GO) ter...
<p>Enrichment of highly co-expressed interactions among sets of genes in the network was calculated ...
<p>The graphs show the percentages of corresponding GO terms to the total number of annotated protei...