Ontologies for bioinformatics
By: Kenneth Baclawski, Tianhua Niu.
Contributors: Niu, Tianhua.
Series: Computational molecular biology
Publisher: MIT Press
Published: 2005
Place of publication: Cambridge, Mass
Language: eng
Number of pages: 424
Subjects: Bioinformatics -- Methodology.
Description: "The three parts of Ontologies for Bioinformatics ask, and answer, three pivotal questions: what ontologies are; how ontologies are used; and what ontologies could be (which focuses on how ontologies could be used for reasoning with uncertainty). The authors first introduce the notion of an ontology, from hierarchically organized ontologies to more general network organizations, and survey the best-known ontologies in biology and medicine. They show how to construct and use ontologies, classifying uses into three categories: querying, viewing, and transforming data to serve diverse purposes. Contrasting deductive, or Boolean, logic with inductive reasoning, they describe the goal of a synthesis that supports both styles of reasoning.

They discuss Bayesian networks as a way of expressing uncertainty, describe data fusion, and propose that the World Wide Web can be extended to support reasoning with uncertainty. They call this inductive reasoning web the Bayesian web."--Jacket.
Notes: Includes bibliographical references and index.