Application of multivariate curve resolution to the analysis of yeast genome-wide screens

作     者：Jaumot, Joaquim Pina, Benjamin Tauler, Roma 

作者机构：Univ Barcelona Dept Analyt Chem E-08028 Barcelona Spain CSIC Dept Environm Chem IDAEA ES-08034 Barcelona Spain 

出 版 物：《CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS》 (化学计量学与智能实验系统)

年 卷 期：2010年第104卷第1期

页      面：53-64页

核心收录：

学科分类：07[理学] 0804[工学-仪器科学与技术] 0714[理学-统计学（可授理学、经济学学位）] 0703[理学-化学] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Spanish Ministerio de Ciencia e Innovacion [CTQ2009-11572] Generalitat de Catalunya [2009-SGR-45] 

主　　题：Microarray data Gene expression Multivariate curve resolution Weighted alternating least squares Yeast cultures 

摘      要：In this work, the application of Multivariate Curve Resolution to the analysis of yeast genome-wide screens obtained by means of DNA microarray technology is shown. In order to perform the analysis of this type of data, two algorithms based on Alternating Least Squares (MCR-ALS) and on its maximum likelihood weighted projection (MCR-WALS) variant are compared. The utilization of the modified weighted alternating least (WALS) squares algorithm is motivated by the rather poor quality, uncertainties and experimental noise associated to DNA microarray data. Moreover, a large number of missing values are usually present in these data sets and the weighted WALS approach allowed circumventing this problem. Two different experimental datasets were used for this comparison. In the first dataset, gene expression values in budding yeast were monitored in-response to glucose limitation. In the second dataset, the changes in the gene expression caused by the daunorubicin drug were monitored as a function of time. Results obtained by application of Multivariate Curve Resolution in the two cases allowed a good recovery of the evolving gene expression profiles and the identification of metabolic pathways and individual genes involved in these gene expression changes. (C) 2010 Elsevier B.V. All rights reserved.