{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pypanda-a-python-package-for-gene-regulatory","title":"PyPanda: a Python Package for Gene Regulatory Network Reconstruction","arxiv_id":"1604.06783","date":"2016-07-12","proceeding":null,"authors":[],"abstract":"PANDA (Passing Attributes between Networks for Data Assimilation) is a gene\nregulatory network inference method that uses message-passing to integrate\nmultiple sources of 'omics data. PANDA was originally coded in C++. In this\napplication note we describe PyPanda, the Python version of PANDA. PyPanda runs\nconsiderably faster than the C++ version and includes additional features for\nnetwork analysis. Availability: The open source PyPanda Python package is\nfreely available at https://github.com/davidvi/pypanda. Contact: d.g.p.van\nijzendoorn@lumc.nl","url_abs":"http://arxiv.org/abs/1604.06783v2","url_pdf":"http://arxiv.org/pdf/1604.06783v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"pypanda-a-python-package-for-gene-regulatory","repo_url":"https://github.com/davidvi/pypanda","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}