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PyMICE: APython library for analysis of IntelliCage data

IntelliCage is an automated system for recording the behavior of a group of mice housed together. It produces rich, detailed behavioral data calling for new methods and software for their analysis. Here we present PyMICE, a free and open-source library for analysis of IntelliCage data in the Python...

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Detalles Bibliográficos
Autores principales: Dzik, Jakub M., Puścian, Alicja, Mijakowska, Zofia, Radwanska, Kasia, Łęski, Szymon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880855/
https://www.ncbi.nlm.nih.gov/pubmed/28643159
http://dx.doi.org/10.3758/s13428-017-0907-5
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author Dzik, Jakub M.
Puścian, Alicja
Mijakowska, Zofia
Radwanska, Kasia
Łęski, Szymon
author_facet Dzik, Jakub M.
Puścian, Alicja
Mijakowska, Zofia
Radwanska, Kasia
Łęski, Szymon
author_sort Dzik, Jakub M.
collection PubMed
description IntelliCage is an automated system for recording the behavior of a group of mice housed together. It produces rich, detailed behavioral data calling for new methods and software for their analysis. Here we present PyMICE, a free and open-source library for analysis of IntelliCage data in the Python programming language. We describe the design and demonstrate the use of the library through a series of examples. PyMICE provides easy and intuitive access to IntelliCage data, and thus facilitates the possibility of using numerous other Python scientific libraries to form a complete data analysis workflow.
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spelling pubmed-58808552018-04-05 PyMICE: APython library for analysis of IntelliCage data Dzik, Jakub M. Puścian, Alicja Mijakowska, Zofia Radwanska, Kasia Łęski, Szymon Behav Res Methods Article IntelliCage is an automated system for recording the behavior of a group of mice housed together. It produces rich, detailed behavioral data calling for new methods and software for their analysis. Here we present PyMICE, a free and open-source library for analysis of IntelliCage data in the Python programming language. We describe the design and demonstrate the use of the library through a series of examples. PyMICE provides easy and intuitive access to IntelliCage data, and thus facilitates the possibility of using numerous other Python scientific libraries to form a complete data analysis workflow. Springer US 2017-06-22 2018 /pmc/articles/PMC5880855/ /pubmed/28643159 http://dx.doi.org/10.3758/s13428-017-0907-5 Text en © The Author(s) 2017 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Dzik, Jakub M.
Puścian, Alicja
Mijakowska, Zofia
Radwanska, Kasia
Łęski, Szymon
PyMICE: APython library for analysis of IntelliCage data
title PyMICE: APython library for analysis of IntelliCage data
title_full PyMICE: APython library for analysis of IntelliCage data
title_fullStr PyMICE: APython library for analysis of IntelliCage data
title_full_unstemmed PyMICE: APython library for analysis of IntelliCage data
title_short PyMICE: APython library for analysis of IntelliCage data
title_sort pymice: apython library for analysis of intellicage data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880855/
https://www.ncbi.nlm.nih.gov/pubmed/28643159
http://dx.doi.org/10.3758/s13428-017-0907-5
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