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Published on: August 25, 2018
Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly
Alan F Karr1, Jason Hauzel1, Prahlad Menon1
1Center Mid-Atlantic Fraunhofer USA, Riverdale, MD.
Abstract:
Specified Certainty Classification (SCC) classifiers whose outputs carry uncertainties, typically in the form of Bayesian posterior probabilities. By allowing the classifier output to be less precise than one of a set of atomic decisions, SCC allows all decisions to achieve a specified level of certainty, as well as provides insights into classifier behavior by examining all decisions that are possible. Our primary illustration is read classification for reference-guided genome assembly, but we demonstrate the breadth of SCC by also analyzing COVID-19 vaccination data.
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