Tools for Semantic Analysis Based on Semantic Similarity

Experimental data about gene products have been integrated with information related to their function, localization, and role. Biological knowledge is encoded by using special terms, or annotation terms, describing function or localization of genes and proteins. Biological ontologies systematize the corpus of such terms and offer a formal framework to represent biological knowledge. For instance, Gene Ontology provides a set of descriptions of biological aspects, namely GO Term. In order to evaluate the similarity among terms belonging to the same ontology, researchers developed a set of formal instruments called Semantic Similarity Measures (SSM). Computing semantic similarity between two genes or proteins is a key point to discover relationships between different genes or proteins.

• Publication year

  2019

• Venue

  Encyclopedia of Bioinformatics and Computational Biology

• Publication date

  Unknown publication date

• Fields of study

  Biology, Computer Science

• Identifiers
  DOI 10.1016/B978-0-12-809633-8.20403-2
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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