000			01685cam a22002414a 4500
008			050202s2006 maua b 001 0 eng
020			_a0262025914
020			_a9780262025911
082	0	0	_a572.802 85 _bBAC
100	1		_aBaclawski, Kenneth
245	1	0	_aOntologies for bioinformatics
260			_aCambridge : _bMIT Press, _c2006.
300			_axiv, 424 p. ; _bill. _c24 cm.
440			_aComputational molecular biology
504			_aIncludes bibliographical references (p. [393]-412) and index.
520	1		_a"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."--BOOK JACKET.
650		0	_aBioinformatics
650		0	_aMethodology
650	1	2	_aComputational Biology
650	1	2	_aOntologies
700	1		_aNiu, Tianhua
942			_cBK
999			_c134001 _d134001