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Information-Theoretic Evaluation for Computational Biomedical Ontologies
Wyatt Travis Clark
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Description for Information-Theoretic Evaluation for Computational Biomedical Ontologies
Paperback. Series: SpringerBriefs in Computer Science. Num Pages: 53 pages, 6 black & white illustrations, 6 colour illustrations, 6 black & white tables, biography. BIC Classification: MBG; MFN; PSA; UMB; UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 8. Weight in Grams: 108.
The development of effective methods for the prediction of ontological annotations is an important goal in computational biology, yet evaluating their performance is difficult due to problems caused by the structure of biomedical ontologies and incomplete annotations of genes. This work proposes an information-theoretic framework to evaluate the performance of computational protein function prediction. A Bayesian network is used, structured according to the underlying ontology, to model the prior probability of a protein's function. The concepts of misinformation and remaining uncertainty are then defined, that can be seen as analogs of precision and recall. Finally, semantic distance is proposed as ... Read more
The development of effective methods for the prediction of ontological annotations is an important goal in computational biology, yet evaluating their performance is difficult due to problems caused by the structure of biomedical ontologies and incomplete annotations of genes. This work proposes an information-theoretic framework to evaluate the performance of computational protein function prediction. A Bayesian network is used, structured according to the underlying ontology, to model the prior probability of a protein's function. The concepts of misinformation and remaining uncertainty are then defined, that can be seen as analogs of precision and recall. Finally, semantic distance is proposed as ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
53
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
46
Place of Publication
Cham, Switzerland
ISBN
9783319041377
SKU
V9783319041377
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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