A Bayesian method for comparing and combining binary classifiers in the absence of a gold standard
<p>Abstract</p> <p>Background</p> <p>Many problems in bioinformatics involve classification based on features such as sequence, structure or morphology. Given multiple classifiers, two crucial questions arise: how does their performance compare, and how can they best be...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2012-07-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://www.biomedcentral.com/1471-2105/13/179 |