| Description |
xiv, 424 pages |
| Series |
Computational molecular biology |
|
Computational molecular biology.
|
| Contents |
I. Introduction to ontologies -- 1. Hierarchies and relationships -- 2. XML semantics -- 3. Rules and inference -- 4. The semantic Web and bioinformatics applications -- 5. Survey of ontologies in bioinformatics -- II. Building and using ontologies -- 6. Information retrieval -- 7. Sequence similarity searching tools -- 8. Query languages -- 9. The transformation process -- 10. Transforming with traditional programming languages -- 11. The XML transformation language -- 12. Building bioinformatics ontologies -- III. Reasoning with uncertainty -- 13. Inductive vs. deductive reasoning -- 14. Bayesian networks -- 15. Combining information -- 16. The Bayesian Web -- 17. Answers to selected exercises |
| Summary |
"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 |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Bioinformatics -- Methodology.
|
|
Computational Biology -- methods.
|
| Author |
Niu, Tianhua.
|
| LC no. |
2005042803 |
| ISBN |
0262025914 alkaline paper |
|
