Data mining in biomedicine using ontologies by Mihail Popescu, Dong Xu

By Mihail Popescu, Dong Xu

An ontology is a collection of vocabulary phrases with explicitly acknowledged meanings and kinfolk with different phrases. almost immediately, increasingly more ontologies are being equipped and used for annotating information in biomedical examine. because of the great quantity of knowledge being generated, ontologies at the moment are getting used in several methods, together with connecting diversified databases, refining seek features, examining experimental/clinical facts, and inferring wisdom. This state-of-the-art source introduces researchers to most recent advancements in bio-ontologies. The e-book presents the theoretical foundations and examples of ontologies, in addition to functions of ontologies in biomedicine, from molecular degrees to scientific degrees. Readers additionally locate information on technological infrastructure for bio-ontologies. This finished, one-stop quantity offers quite a lot of functional bio-ontology details, delivering execs unique suggestions within the clustering of organic information, protein type, gene and pathway prediction, and textual content mining.

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Initial experiments [23, 54] and more recent experiments [38, 39] have explored the use of semantic similarity between Gene Ontology (GO) annotations of gene products to determine the similarity between gene products. This semantic similarity assessment between gene products has been compared to the sequence similarity between gene products [1]. Now that the context for similarity has been described, the relationship between the three different terms similarity, distance, and relatedness must be addressed in this context.

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