Orthogonal PLS (OPLS) Modeling for Improved Analysis and Interpretation in Drug Design

Tipo de material: Texto

TextoSeries Molecular Informatics, 31(6-7), p.414-419, 2012Trabajos contenidos:

Eriksson, L
Rosén, J
Johansson, E
Trygg, J

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Resumen: 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.

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Artículo

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.

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