PyPanda: a Python package for gene regulatory network reconstruction

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PyPanda: a Python package for gene regulatory network reconstruction

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Title: PyPanda: a Python package for gene regulatory network reconstruction
Author: van IJzendoorn, David G.P.; Glass, Kimberly; Quackenbush, John; Kuijjer, Marieke L.

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Citation: van IJzendoorn, David G.P., Kimberly Glass, John Quackenbush, and Marieke L. Kuijjer. 2016. “PyPanda: a Python package for gene regulatory network reconstruction.” Bioinformatics 32 (21): 3363-3365. doi:10.1093/bioinformatics/btw422. http://dx.doi.org/10.1093/bioinformatics/btw422.
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Abstract: 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
Published Version: doi:10.1093/bioinformatics/btw422
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079480/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:29408415
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