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PyPanda: a Python package for gene regulatory network reconstruction
Summary: PANDA (Passing Attributes between Networks for Data Assimilation) is a gene regulatory network inference method that uses message-passing to integrate multiple sources of ‘omics data. PANDA was originally coded in C ++. In this application note we describe PyPanda, the Python version of PAN...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079480/ https://www.ncbi.nlm.nih.gov/pubmed/27402905 http://dx.doi.org/10.1093/bioinformatics/btw422 |
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author | van IJzendoorn, David G.P. Glass, Kimberly Quackenbush, John Kuijjer, Marieke L. |
author_facet | van IJzendoorn, David G.P. Glass, Kimberly Quackenbush, John Kuijjer, Marieke L. |
author_sort | van IJzendoorn, David G.P. |
collection | PubMed |
description | Summary: PANDA (Passing Attributes between Networks for Data Assimilation) is a gene regulatory network inference method that uses message-passing to integrate multiple sources of ‘omics data. PANDA was originally coded in C ++. In this application note we describe PyPanda, the Python version of PANDA. PyPanda runs considerably faster than the C ++ version and includes additional features for network analysis. Availability and implementation: The open source PyPanda Python package is freely available at http://github.com/davidvi/pypanda. Contact: mkuijjer@jimmy.harvard.edu or d.g.p.van_ijzendoorn@lumc.nl |
format | Online Article Text |
id | pubmed-5079480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50794802016-10-26 PyPanda: a Python package for gene regulatory network reconstruction van IJzendoorn, David G.P. Glass, Kimberly Quackenbush, John Kuijjer, Marieke L. Bioinformatics Applications Notes Summary: PANDA (Passing Attributes between Networks for Data Assimilation) is a gene regulatory network inference method that uses message-passing to integrate multiple sources of ‘omics data. PANDA was originally coded in C ++. In this application note we describe PyPanda, the Python version of PANDA. PyPanda runs considerably faster than the C ++ version and includes additional features for network analysis. Availability and implementation: The open source PyPanda Python package is freely available at http://github.com/davidvi/pypanda. Contact: mkuijjer@jimmy.harvard.edu or d.g.p.van_ijzendoorn@lumc.nl Oxford University Press 2016-11-01 2016-07-10 /pmc/articles/PMC5079480/ /pubmed/27402905 http://dx.doi.org/10.1093/bioinformatics/btw422 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes van IJzendoorn, David G.P. Glass, Kimberly Quackenbush, John Kuijjer, Marieke L. PyPanda: a Python package for gene regulatory network reconstruction |
title | PyPanda: a Python package for gene regulatory network reconstruction |
title_full | PyPanda: a Python package for gene regulatory network reconstruction |
title_fullStr | PyPanda: a Python package for gene regulatory network reconstruction |
title_full_unstemmed | PyPanda: a Python package for gene regulatory network reconstruction |
title_short | PyPanda: a Python package for gene regulatory network reconstruction |
title_sort | pypanda: a python package for gene regulatory network reconstruction |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079480/ https://www.ncbi.nlm.nih.gov/pubmed/27402905 http://dx.doi.org/10.1093/bioinformatics/btw422 |
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