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10.1016/j.cub.2011.08.016 + + + Data Structures for Statistical Computing in Python, Proceedings of the 9th Python in Science Conference, McKinney, Wes, van der Walt, Stéfan and Millman, Jarrod, 2010, 51-56 + + + 10.12688/f1000research.11407.1 + + + + + + From 1e3bc08f02ec4d22c825c0633ef22206859e911d Mon Sep 17 00:00:00 2001 From: I'm Whedon Date: Thu, 25 Jul 2019 17:33:22 -0400 Subject: [PATCH 3/4] Deleting 10.21105.joss.01390.crossref.xml --- joss.01390/10.21105.joss.01390.crossref.xml | 137 -------------------- 1 file changed, 137 deletions(-) delete mode 100644 joss.01390/10.21105.joss.01390.crossref.xml diff --git a/joss.01390/10.21105.joss.01390.crossref.xml b/joss.01390/10.21105.joss.01390.crossref.xml deleted file mode 100644 index 2363a46a3a..0000000000 --- a/joss.01390/10.21105.joss.01390.crossref.xml +++ /dev/null @@ -1,137 +0,0 @@ - - - - b8588c5f021ce0c83d4667123729c563 - 20190725174113 - - JOSS Admin - admin@theoj.org - - The Open Journal - - - - - Journal of Open Source Software - JOSS - 2475-9066 - - 10.21105/joss - http://joss.theoj.org - - - - - 07 - 2019 - - - 4 - - 39 - - - - AutoClassWrapper: a Python wrapper for AutoClass C classification - - - - Jean-Michel - Camadro - http://orcid.org/0000-0002-8549-2707 - - - Pierre - Poulain - http://orcid.org/0000-0003-4177-3619 - - - - 07 - 25 - 2019 - - - 1390 - - - 10.21105/joss.01390 - - - http://creativecommons.org/licenses/by/4.0/ - http://creativecommons.org/licenses/by/4.0/ - http://creativecommons.org/licenses/by/4.0/ - - - - Software archive - https://doi.org/10.5281/zenodo.2527058 - - - GitHub review issue - https://github.com/openjournals/joss-reviews/issues/1390 - - - - 10.21105/joss.01390 - http://joss.theoj.org/papers/10.21105/joss.01390 - - - http://www.theoj.org/openjournals/joss-papers/joss.01390/10.21105.joss.01390.pdf - - - - - - 10.1093/nar/gkp430 - - - 10.1371/journal.pcbi.1005412 - - - 10.1093/bioinformatics/bth349 - - - 10.1145/1162678.1162679 - - - 10.1098/rstb.2002.1070 - - - Boston, MA, Bayesian Classification(AutoClass):Theory and Results, 978-0-262-56097-9, Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, Cheeseman, Peter and Stutz, John, Fayyad, Usama M. and Piatetsky-Shapiro, Gregory and Smyth, Padhraic and Uthurusamy, Ramasamy, feb, 1996, 153-180, 2 - - - 10.1016/j.econmod.2006.02.006 - - - A Bayesian Classification of the IRAS LRS Atlas, 222, Astronomy and Astrophysics, Goebel, J. and Volk, K. and Walker, H. and Gerbault, F. and Cheeseman, P. and Self, M. and Stutz, J. and Taylor, W., 1989, L5-L8 - - - https://doi.org/10.1007/978-94-009-0107-0_13 - - - 10.1109/64.153466 - - - 10.1111/j.2007.0906-7590.05002.x - - - 10.1074/mcp.M114.041210 - - - 10.1523/ENEURO.0305-17.2018 - - - 10.1016/j.cub.2011.08.016 - - - Data Structures for Statistical Computing in Python, Proceedings of the 9th Python in Science Conference, McKinney, Wes, van der Walt, Stéfan and Millman, Jarrod, 2010, 51-56 - - - 10.12688/f1000research.11407.1 - - - - - - From 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