A Weighted Multipath Measurement Based on Gene Ontology for Estimating Gene Products Similarity

A New Method to Measure the Functional Similarity of Gene Products based on Gene Ontology

We present in this paper novel techniques that determine the semantic relationships among genes and gene products. We implemented these techniques in a middleware system called GOtoGene, which resides between user application and Gene Ontology database. Given a set S of genes, GOtoGene would return another set S  of genes, where each gene in S  is semantically related to each gene in S . The ...

An integrated information-based similarity measurement of gene ontology terms

Measuring the semantic similarity between pairs of terms in Gene Ontology (GO) can help to compare genes that can not be compared by other computational methods. In this study, we proposed an integrated informationbased similarity measurement (IISM) to calculate the semantic similarity between two GO terms by taking into account multiple common ancestors that they share, and aggregating the sem...

Improving Semantic Similarity for Proteins based on the Gene Ontology

One of the current challenges in the Life Sciences is to extract the knowledge contained in the vast amount of data that the genomic and post-genomic techniques are producing. One of the major efforts in this area was the development of the Gene Ontology (GO), a BioOntology that contains terms that describe gene products, organized in a graph structure. Gene products annotated with ontology ter...

Gene ontology for measuring similarity

Gene Ontology-based Semantic Similarity Measures

Quantitative measure of functional similarity between gene products is important for post-genomics study. The similarity measures may be used to validate high-throughput protein interaction data, help the development of new pathway modelling tools and clustering methods, and enable the identification of functionally related gene products independent of homology [Guo et al., 2006, Schlicker et a...