The R package HCGene (Hierarchical Classification of Genes) implements methods to process and analyze the Gene Ontology and the FunCat taxonomy in order to support the functional classification of genes. HCGene allows the extraction of subgraphs and subtrees related to specific biological problems, the labeling of genes and gene products with multiple and hierarchical functional classes, and the association of different types of bio-molecular data to genes for learning to predict their functions
We have developed methods and tools based on the Gene Ontology (GO) resource allowing the identifica...
<p>The results are summarized in three main categories: biological process, molecular function and c...
<p>1094 significant genes were analyzed using the MetaCore built-in HD pathway, and 40 HD-related ge...
Summary: The R package HCGene (Hierarchical Classification of Genes) implements methods to process a...
Abstract Summary: The R package HCGene (Hierarchical Classification of Genes) impleme...
Background: The existing gene annotation schemes generally classify genes into two-levels of paralle...
A great deal of genomics information accumulated through years is available nowadays in on-line text...
Abstract Background Gene Ontology (GO) is a useful resource of controlled vocabulary that provides i...
This paper addresses the task of functional annotation of genes from biomedical literature. We view ...
<p>(The -ais indicates the subcategories and the y-ais indicates the number of unigenes).</p
The information of the Gene Ontology annotation is helpful in the explanation of life science phenom...
<p>(A) Hierarchical clustering of H1.5 enrichment levels in HGNC gene families is shown as a heat ma...
The information of the Gene Ontology annotation is helpful in the explanation of life science phenom...
<p>The results are summarized into three main categories: biological process, cellular component and...
<p>The vertical axis represents the number of unigenes, and horizontal axis gives the specific GO su...
We have developed methods and tools based on the Gene Ontology (GO) resource allowing the identifica...
<p>The results are summarized in three main categories: biological process, molecular function and c...
<p>1094 significant genes were analyzed using the MetaCore built-in HD pathway, and 40 HD-related ge...
Summary: The R package HCGene (Hierarchical Classification of Genes) implements methods to process a...
Abstract Summary: The R package HCGene (Hierarchical Classification of Genes) impleme...
Background: The existing gene annotation schemes generally classify genes into two-levels of paralle...
A great deal of genomics information accumulated through years is available nowadays in on-line text...
Abstract Background Gene Ontology (GO) is a useful resource of controlled vocabulary that provides i...
This paper addresses the task of functional annotation of genes from biomedical literature. We view ...
<p>(The -ais indicates the subcategories and the y-ais indicates the number of unigenes).</p
The information of the Gene Ontology annotation is helpful in the explanation of life science phenom...
<p>(A) Hierarchical clustering of H1.5 enrichment levels in HGNC gene families is shown as a heat ma...
The information of the Gene Ontology annotation is helpful in the explanation of life science phenom...
<p>The results are summarized into three main categories: biological process, cellular component and...
<p>The vertical axis represents the number of unigenes, and horizontal axis gives the specific GO su...
We have developed methods and tools based on the Gene Ontology (GO) resource allowing the identifica...
<p>The results are summarized in three main categories: biological process, molecular function and c...
<p>1094 significant genes were analyzed using the MetaCore built-in HD pathway, and 40 HD-related ge...