In machine learning and data mining, most of the works in classification problems deal with
flat classification, where each instance is classified in one of a set of possible classes and …

The literature on protein function prediction is currently dominated by works aimed at
maximizing predictive accuracy, ignoring the important issues of validation and …

Abstract The Gene Ontology Annotation (GOA) database (http://www. ebi. ac. uk/GOA) aims
to provide high‐quality electronic and manual annotations to the UniProt Knowledgebase …

Motivation: Microarray experiments result in large-scale data sets that require extensive
mining and refining to extract useful information. We demonstrate the usefulness of (non …

Background Microarray and other high-throughput technologies are producing large sets of
interesting genes that are difficult to analyze directly. Bioinformatics tools are needed to …

Abstract Motivation: The Gene Ontology (GO) is a widely used terminology for gene product
characterization in, for example, interpretation of biology underlying microarray experiments …

Background Development of robust and efficient methods for analyzing and interpreting high
dimension gene expression profiles continues to be a focus in computational biology. The …

The gene ontology and annotations derived from the S. cerivisiae genome database were
analyzed to calculate functional similarity of gene products. Three methods for measuring …

Proteins are the most essential and versatile macromolecules of life, and the knowledge of
their functions is a crucial link in the development of new drugs, better crops, and even the …

Rapid advances in high-throughout genome sequencing technologies have resulted in
millions of protein-encoding gene sequences with no functional characterization. Automated …