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dc.contributor.authorAllen, Genevera I.
Peterson, Christine
Vannucci, Marina
Maleti?-Savati?, Mirjana
dc.date.accessioned 2014-10-07T21:52:28Z
dc.date.available 2014-10-07T21:52:28Z
dc.date.issued 2013
dc.identifier.citation Allen, Genevera I., Peterson, Christine, Vannucci, Marina, et al.. "Regularized partial least squares with an application to NMR spectroscopy." Statistical Analysis and Data Mining, 6, no. 4 (2013) John Wiley & Sons, Inc.: 302-314. http://dx.doi.org/10.1002/sam.11169.
dc.identifier.urihttps://hdl.handle.net/1911/77433
dc.description.abstract High-dimensional data common in genomics, proteomics, and chemometrics often contains complicated correlation structures. Recently, partial least squares (PLS) and Sparse PLS methods have gained attention in these areas as dimension reduction techniques in the context of supervised data analysis. We introduce a framework for Regularized PLS by solving a relaxation of the SIMPLS optimization problem with penalties on the PLS loadings vectors. Our approach enjoys many advantages including flexibility, general penalties, easy interpretation of results, and fast computation in high-dimensional settings. We also outline extensions of our methods leading to novel methods for non-negative PLS and generalized PLS, an adoption of PLS for structured data. We demonstrate the utility of our methods through simulations and a case study on proton Nuclear Magnetic Resonance (NMR) spectroscopy data.
dc.language.iso eng
dc.publisher John Wiley & Sons, Inc.
dc.rights This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyighted by Wiley.
dc.title Regularized partial least squares with an application to NMR spectroscopy
dc.type Journal article
dc.contributor.funder National Science Foundation
dc.contributor.funder U.S. National Library of Medicine
dc.contributor.funder Virgina and L. E. Simmons Family Foundation
dc.citation.journalTitle Statistical Analysis and Data Mining
dc.subject.keywordsparse PLS
sparse PCA
NMR spectroscopy
generalized PCA
non-negative PLS
generalized PLS
dc.citation.volumeNumber 6
dc.citation.issueNumber 4
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1002/sam.11169
dc.identifier.pmcid PMC3914316
dc.identifier.pmid 24511361
dc.identifier.grantID DMS-1209017 (National Science Foundation)
dc.identifier.grantID T15LM007093 (U.S. National Library of Medicine)
dc.type.publication post-print
dc.citation.firstpage 302
dc.citation.lastpage 314


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