{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T22:55:21Z","timestamp":1771455321160,"version":"3.50.1"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"21","license":[{"start":{"date-parts":[[2016,11,7]],"date-time":"2016-11-07T00:00:00Z","timestamp":1478476800000},"content-version":"vor","delay-in-days":120,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: PANDA ( P assing A ttributes between N etworks for D ata A ssimilation) is a gene regulatory network inference method that uses message-passing to integrate multiple sources of \u2018omics data. PANDA was originally coded in C\u2002++. In this application note we describe PyPanda, the Python version of PANDA. PyPanda runs considerably faster than the C\u2002++\u2002version and includes additional features for network analysis.<\/jats:p>\n               <jats:p>Availability and implementation: The open source PyPanda Python package is freely available at http:\/\/github.com\/davidvi\/pypanda .<\/jats:p>\n               <jats:p>Contact: \u00a0mkuijjer@jimmy.harvard.edu or d.g.p.van_ijzendoorn@lumc.nl<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw422","type":"journal-article","created":{"date-parts":[[2016,7,12]],"date-time":"2016-07-12T07:21:31Z","timestamp":1468308091000},"page":"3363-3365","source":"Crossref","is-referenced-by-count":19,"title":["PyPanda: a Python package for gene regulatory network reconstruction"],"prefix":"10.1093","volume":"32","author":[{"given":"David G.P.","family":"van IJzendoorn","sequence":"first","affiliation":[{"name":"1 Department of Pathology, Leiden University Medical Center, 2300RC Leiden, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kimberly","family":"Glass","sequence":"additional","affiliation":[{"name":"2 Channing Division of Network Medicine, Department of Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA 02215, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Quackenbush","sequence":"additional","affiliation":[{"name":"3 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA"},{"name":"4 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA"},{"name":"5 Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marieke L.","family":"Kuijjer","sequence":"additional","affiliation":[{"name":"3 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA"},{"name":"4 Department of Biostatistics, Harvard T.H. 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