Orthogonal PLS (OPLS) Modeling for Improved Analysis and Interpretation in Drug Design
2012 (English)In: Molecular informatics, ISSN 1868-1751, Vol. 31, no 6-7, 414-419 p.Article in journal (Refereed) Published
Partial least squares (PLS) regression is a flexible data analytical approach, which can be made even more versatile and useful by various modifications. In this article we describe the extension into orthogonal PLS modeling, in terms of two new methods, called OPLS and O2PLS, with similar prediction capacity but improved model interpretation.
Place, publisher, year, edition, pages
Weinheim: Wiley-VCH Verlagsgesellschaft, 2012. Vol. 31, no 6-7, 414-419 p.
Latent variables, Predictive variation, Orthogonal variation, Interpretability
IdentifiersURN: urn:nbn:se:umu:diva-54362DOI: 10.1002/minf.201200158OAI: oai:DiVA.org:umu-54362DiVA: diva2:517886
Article first published online: 16 APR 20122012-04-242012-04-242012-10-16Bibliographically approved