reference/10735922

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/10735922

Outgoing Links

Predicate	Object
contentType	Retraction of Publication
endingPage	119
issn	1476-9271
pageRange	104-119
publicationName	Computational Biology and Chemistry
startingPage	104
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_b5ad88fdb9d8a30d34a9b7f844c05af4 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_77e2488754b2b37f99f84e3d30d28ece http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_a1ebfe17b0713ecaf89801f0370c078d http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_0352fa9dbf5677f98c9a97bb83d9d515
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bibliographicCitation	Rouillard AD, Wang Z, Ma'ayan A. Publisher’s Note:Abstraction for data integration:Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction. Comput Biol Chem. 2015 Oct;58():104–19. PMID: 26101093; PMCID: PMC4675694.
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date	201510
identifier	https://pubmed.ncbi.nlm.nih.gov/PMC4675694 https://pubmed.ncbi.nlm.nih.gov/26101093 https://doi.org/10.1016/j.compbiolchem.2015.06.003
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language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Publisher's Note: Abstraction for data integration: Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction

Total number of triples: 28.