caa a22 4500 378925830 CHVBK 20180305123617.0 cr unu---uuuuu 161128e20041123xx s 000 0 eng 10.2202/1544-6115.1075 doi (NATIONALLICENCE)gruyter-10.2202/1544-6115.1075 Boulesteix Anne-Laure Department of Statistics, University of Munich PLS Dimension Reduction for Classification with Microarray Data [Elektronische Daten] [Anne-Laure Boulesteix] Partial Least Squares (PLS) dimension reduction is known to give good prediction accuracy in the context of classification with high-dimensional microarray data. In this paper, the classification procedure consisting of PLS dimension reduction and linear discriminant analysis on the new components is compared with some of the best state-of-the-art classification methods. Moreover, a boosting algorithm is applied to this classification method. In addition, a simple procedure to choose the number of PLS components is suggested. The connection between PLS dimension reduction and gene selection is examined and a property of the first PLS component for binary classification is proved. In addition, we show how PLS can be used for data visualization using real data. The whole study is based on 9 real microarray cancer data sets. ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston Microarrays nationallicence Multivariate Analysis nationallicence partial least squares nationallicence feature extraction nationallicence variable selection nationallicence boosting nationallicence gene expression nationallicence discriminant analysis nationallicence supervised learning nationallicence Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-11-23), 1-30 3:1<1 2004 3 sagmb https://doi.org/10.2202/1544-6115.1075 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.2202/1544-6115.1075 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Boulesteix Anne-Laure Department of Statistics, University of Munich NATIONALLICENCE 773 0- Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-11-23), 1-30 3:1<1 2004 3 sagmb CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter