In recent years, ontologies have become a mainstream topic in biomedical research. When
biological entities are described using a common schema, such as an ontology, they can be …

Advances in high‐throughput experimental techniques in the past decade have enabled the
explosive increase of omics data, while effective organization, interpretation, and exchange …

Motivation: Although controlled biochemical or biological vocabularies, such as Gene
Ontology (GO)(http://www. geneontology. org), address the need for consistent descriptions …

Independent of the platform and the analysis methods used, the result of a microarray
experiment is, in most cases, a list of differentially expressed genes. An automatic …

This paper proposes a new feature selection method that uses a backward elimination
procedure similar to that implemented in support vector machine recursive feature …

We enhance the support vector machine recursive feature elimination (SVM-RFE) method
for gene selection by incorporating a minimum-redundancy maximum-relevancy (MRMR) …

The integration of proteomics data with biological knowledge is a recent trend in
bioinformatics. A lot of biological information is available and is spread on different sources …

The analysis of protein-protein interactions is fundamental to the understanding of cellular
organization, processes, and functions. Recent large-scale investigations of protein-protein …

Although clustering has been studied for several decades, the fundamental problem of a
valid evaluation has not yet been solved. The sound evaluation of clustering results in …

Gene Ontology (GO) semantic similarity tools enable retrieval of semantic similarity scores,
which incorporate biological knowledge embedded in the GO structure for comparing or …