Partial least squares as a target-directed structure-seeking technique

被引：8

作者：

Rayens, WS ^{[1
]}

Andersen, AH

机构：

[1] Univ Kentucky, Dept Stat, Lexington, KY 40506 USA

[2] Univ Kentucky, Dept Anat & Neurobiol, Magnet Resonance & Spect Ctr, Lexington, KY 40506 USA

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2004年 / 71卷 / 02期

关键词：

magmetic resonance imaging; kinetics; principal components; fMRI; rotations;

D O I：

10.1016/j.chemolab.2004.01.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Partial least square (PLS) has enjoyed considerable success in a variety of applications. One of the reasons it is so popular is that it can be applied in many different ways, with a host of different endpoints of interest for the analysis. In chemometrics, the focus has traditionally been on calibration or regression. There has been very little discussion about how to use PLS as a target-directed structure-seeking technique in kinetic studies. It turns out that this is a very natural use of PLS, one that emerges as preferable to the standard approach that employs a least-squares fit of selected component directions to the kinetic target. In this paper, we explore this comparison within the context of brain mapping studies employing functional magnetic resonance imaging (fMRI). (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：121 / 127

页数：7

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