reference/5089941

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/5089941

Outgoing Links

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contentType	Journal Article\|Research Support, Non-U.S. Gov't
endingPage	23
issn	0888-7543
issueIdentifier	1
pageRange	16-23
publicationName	Genomics
startingPage	16
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_77e2488754b2b37f99f84e3d30d28ece
isSupportedBy	http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_b99ce4a3cd643665c7ed3c684f16d43d http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_04ea72cb58794e7f5912e1420152929f http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_e6530358ac4ad87dfa0bf21284e36e32 http://rdf.ncbi.nlm.nih.gov/pubchem/grant/MD5_2d564dd29a1226b85ca45f09b0510bda
bibliographicCitation	Li L, Jiang W, Li X, Moser KL, Guo Z, Du L, Wang Q, Topol EJ, Wang Q, Rao S. A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset. Genomics. 2005 Jan;85(1):16–23. doi: 10.1016/j.ygeno.2004.09.007. PMID: 15607418.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d1de5ffe18cc8f467b5116171c3ebc74 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_25dc4bc4d691e3647d80f48a2aed4e3c http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_97845a4a3ca3522b3fc1c8c554ff2807 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_65e533627e382d24797d456b7896b711 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_b198469387580fe02768e216bf10e1d3 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_50d26110546744d1cb085b1bb80d3019 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_a5b17fcbb21de264ffb8146b255631a6 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_741734cd7dc29bb1028a5f74caeee1c9 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f3a9862513491ef51bfbe923afceaaa1 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-7809-3700 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_71a7224777ebdcbf961b2ba004f42d0a
date	200501
identifier	https://pubmed.ncbi.nlm.nih.gov/15607418 https://doi.org/10.1016/j.ygeno.2004.09.007
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language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset
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Total number of triples: 40.