21798025

Source:http://linkedlifedata.com/resource/pubmed/id/21798025

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0014406, umls-concept:C0376284, umls-concept:C0449416, umls-concept:C0597198, umls-concept:C0870071, umls-concept:C0887819
pubmed:dateCreated	2011-8-22
pubmed:abstractText	ABSTRACT:
pubmed:commentsCorrections	http://linkedlifedata.com/resource/pubmed/commentcorrection/21798025-12612645, http://linkedlifedata.com/resource/pubmed/commentcorrection/21798025-12653513, http://linkedlifedata.com/resource/pubmed/commentcorrection/21798025-15715500, http://linkedlifedata.com/resource/pubmed/commentcorrection/21798025-17238267, http://linkedlifedata.com/resource/pubmed/commentcorrection/21798025-19055766
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101516718
pubmed:status	PubMed-not-MEDLINE
pubmed:issn	1758-2946
pubmed:author	pubmed-author:AlmeidaPedroP, pubmed-author:BoyerScottS, pubmed-author:CarlssonLars ALA, pubmed-author:StålringJonna CJC
pubmed:issnType	Electronic
pubmed:volume	3
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	28
pubmed:year	2011
pubmed:articleTitle	AZOrange - High performance open source machine learning for QSAR modeling in a graphical programming environment.
pubmed:affiliation	Computational Toxicology, Global Safety Assessment, AstraZeneca R&D, Pepparedsleden 1, 431 53 Mölndal, Sweden. Jonna.Stalring@astrazeneca.com.
pubmed:publicationType	Journal Article