http://rdf.ncbi.nlm.nih.gov/pubchem/reference/11551649

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Predicate Object
contentType Journal Article|Research Support, Non-U.S. Gov't
endingPage 915
issn 1539-1604
1539-1612
issueIdentifier 4
pageRange 898-915
publicationName Pharmaceutical Statistics
startingPage 898
hasFundingAgency http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_ab565984d309aebef94b58046b90d633
bibliographicCitation Mameli V, Slanzi D, Poli I, Green DVS. Search for relevant subsets of binary predictors in high dimensional regression for discovering the lead molecule. Pharmaceutical Statistics. 2021 Mar 25;20(4):898–915. doi: 10.1002/pst.2117.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-0540-144X
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_65921e3e3699b3162a7bcf906aa53b89
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-4204-1009
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_564d2a3b64d56af1ff9f89860e1db497
date 2021-03-25^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1002/pst.2117
https://pubmed.ncbi.nlm.nih.gov/33768736
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/33099
https://portal.issn.org/resource/ISSN/1539-1612
https://portal.issn.org/resource/ISSN/1539-1604
language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title Search for relevant subsets of binary predictors in high dimensional regression for discovering the lead molecule
hasPrimarySubjectTerm http://id.nlm.nih.gov/mesh/D055808
hasSubjectTerm http://id.nlm.nih.gov/mesh/D006801
http://id.nlm.nih.gov/mesh/D003198
http://id.nlm.nih.gov/mesh/D016000

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