Pattern Recognition Programming

Information-Theoretic Evaluation for Computational by Wyatt Travis Clark PDF

By Wyatt Travis Clark

ISBN-10: 3319041371

ISBN-13: 9783319041377

the improvement of potent equipment for the prediction of ontological annotations is a vital target in computational biology, but comparing their functionality is hard as a result of difficulties attributable to the constitution of biomedical ontologies and incomplete annotations of genes. This paintings proposes an information-theoretic framework to guage the functionality of computational protein functionality prediction. A Bayesian community is used, established in accordance with the underlying ontology, to version the past likelihood of a protein's functionality. The ideas of incorrect information and ultimate uncertainty are then outlined, that may be visible as analogs of precision and remember. ultimately, semantic distance is proposed as a unmarried statistic for score type types. The procedure is evaluated by means of interpreting 3 protein functionality predictors of gene ontology phrases. The paintings addresses numerous weaknesses of present metrics, and gives helpful insights into the functionality of protein functionality prediction tools.

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Information-Theoretic Evaluation for Computational Biomedical Ontologies (SpringerBriefs in Computer Science) by Wyatt Travis Clark


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