Contemporary genome-scale studies often return a long list of genes of potential interest, and a challenging task is to reveal the major functional themes the genes are involved in at a conceptual level. The Gene Ontology (GO) is an ontology representing molecular biology concepts related to genes and their products, and current annotations from the GO Consortium are highly specific. There is a need for tools that reveal the major functional themes through mining and representing semantic information of genes in an objective and quantitative manner. Our methods provide an objective and quantitative approach to capturing the major directions of gene functions in a context-specific fashion
The Gene Ontology (GO) project is the largest resource for cataloguing gene function. The combinatio...
The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and b...
Ontologies are fundamental knowledge representations that provide not only standards for annotating ...
Background\ud The Gene Ontology (GO) is an ontology representing molecular biology concepts related ...
Background: The Gene Ontology (GO) is an ontology representing molecular biology concepts related to...
Scientists wishing to utilize genomic data have quickly come to realize the benefit of standardizing...
To address the challenges of information integration and retrieval, the computational genomics commu...
Abstract To address the challenges of information integration and retrieval, the computational genom...
The Gene Ontology (GO) project (http://www. geneontology.org/) provides structured, controlled vocab...
Abstract. The analysis of genome-scale data from different high throughput techniques usually involv...
The exponential growth in the volume of accessible biological information has generated a confusion ...
<p>The top 10 represented GO terms for each of the GO categories: Biological Process, Molecular Func...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
The Gene Ontology (GO) project is the largest resource for cataloguing gene function. The combinatio...
The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and b...
Ontologies are fundamental knowledge representations that provide not only standards for annotating ...
Background\ud The Gene Ontology (GO) is an ontology representing molecular biology concepts related ...
Background: The Gene Ontology (GO) is an ontology representing molecular biology concepts related to...
Scientists wishing to utilize genomic data have quickly come to realize the benefit of standardizing...
To address the challenges of information integration and retrieval, the computational genomics commu...
Abstract To address the challenges of information integration and retrieval, the computational genom...
The Gene Ontology (GO) project (http://www. geneontology.org/) provides structured, controlled vocab...
Abstract. The analysis of genome-scale data from different high throughput techniques usually involv...
The exponential growth in the volume of accessible biological information has generated a confusion ...
<p>The top 10 represented GO terms for each of the GO categories: Biological Process, Molecular Func...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
Computational analyses of functions of gene sets obtained in microarray analyses or by topical datab...
The Gene Ontology (GO) project is the largest resource for cataloguing gene function. The combinatio...
The overarching goal of the Gene Ontology (GO) Consortium is to provide researchers in biology and b...
Ontologies are fundamental knowledge representations that provide not only standards for annotating ...