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YLoc—an interpretable web server for predicting subcellular localization

Predicting subcellular localization has become a valuable alternative to time-consuming experimental methods. Major drawbacks of many of these predictors is their lack of interpretability and the fact that they do not provide an estimate of the confidence of an individual prediction. We present YLoc...

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Detalles Bibliográficos
Autores principales: Briesemeister, Sebastian, Rahnenführer, Jörg, Kohlbacher, Oliver
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896088/
https://www.ncbi.nlm.nih.gov/pubmed/20507917
http://dx.doi.org/10.1093/nar/gkq477
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author Briesemeister, Sebastian
Rahnenführer, Jörg
Kohlbacher, Oliver
author_facet Briesemeister, Sebastian
Rahnenführer, Jörg
Kohlbacher, Oliver
author_sort Briesemeister, Sebastian
collection PubMed
description Predicting subcellular localization has become a valuable alternative to time-consuming experimental methods. Major drawbacks of many of these predictors is their lack of interpretability and the fact that they do not provide an estimate of the confidence of an individual prediction. We present YLoc, an interpretable web server for predicting subcellular localization. YLoc uses natural language to explain why a prediction was made and which biological property of the protein was mainly responsible for it. In addition, YLoc estimates the reliability of its own predictions. YLoc can, thus, assist in understanding protein localization and in location engineering of proteins. The YLoc web server is available online at www.multiloc.org/YLoc.
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spelling pubmed-28960882010-07-02 YLoc—an interpretable web server for predicting subcellular localization Briesemeister, Sebastian Rahnenführer, Jörg Kohlbacher, Oliver Nucleic Acids Res Articles Predicting subcellular localization has become a valuable alternative to time-consuming experimental methods. Major drawbacks of many of these predictors is their lack of interpretability and the fact that they do not provide an estimate of the confidence of an individual prediction. We present YLoc, an interpretable web server for predicting subcellular localization. YLoc uses natural language to explain why a prediction was made and which biological property of the protein was mainly responsible for it. In addition, YLoc estimates the reliability of its own predictions. YLoc can, thus, assist in understanding protein localization and in location engineering of proteins. The YLoc web server is available online at www.multiloc.org/YLoc. Oxford University Press 2010-07-01 2010-05-27 /pmc/articles/PMC2896088/ /pubmed/20507917 http://dx.doi.org/10.1093/nar/gkq477 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Briesemeister, Sebastian
Rahnenführer, Jörg
Kohlbacher, Oliver
YLoc—an interpretable web server for predicting subcellular localization
title YLoc—an interpretable web server for predicting subcellular localization
title_full YLoc—an interpretable web server for predicting subcellular localization
title_fullStr YLoc—an interpretable web server for predicting subcellular localization
title_full_unstemmed YLoc—an interpretable web server for predicting subcellular localization
title_short YLoc—an interpretable web server for predicting subcellular localization
title_sort yloc—an interpretable web server for predicting subcellular localization
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896088/
https://www.ncbi.nlm.nih.gov/pubmed/20507917
http://dx.doi.org/10.1093/nar/gkq477
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