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Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly

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 cert...

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Detalles Bibliográficos
Autores principales: Karr, Alan F., Hauzel, Jason, Menon, Prahlad, Porter, Adam A., Schaefer, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452099/
https://www.ncbi.nlm.nih.gov/pubmed/34545333
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author Karr, Alan F.
Hauzel, Jason
Menon, Prahlad
Porter, Adam A.
Schaefer, Marcel
author_facet Karr, Alan F.
Hauzel, Jason
Menon, Prahlad
Porter, Adam A.
Schaefer, Marcel
author_sort Karr, Alan F.
collection PubMed
description 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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spelling pubmed-84520992021-09-21 Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly Karr, Alan F. Hauzel, Jason Menon, Prahlad Porter, Adam A. Schaefer, Marcel ArXiv Article 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. Cornell University 2021-09-13 /pmc/articles/PMC8452099/ /pubmed/34545333 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Karr, Alan F.
Hauzel, Jason
Menon, Prahlad
Porter, Adam A.
Schaefer, Marcel
Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly
title Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly
title_full Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly
title_fullStr Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly
title_full_unstemmed Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly
title_short Specified Certainty Classification, with Application to Read Classification for Reference-Guided Metagenomic Assembly
title_sort specified certainty classification, with application to read classification for reference-guided metagenomic assembly
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452099/
https://www.ncbi.nlm.nih.gov/pubmed/34545333
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