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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Clustering Time-Series Gene Expression Data Using Smoothing Spline Derivatives | Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2007 Article ID 70561 10 pages doi 10.1155 2007 70561 Research Article Clustering Time-Series Gene Expression Data Using Smoothing Spline Derivatives S. Dejean 1 P. G. P. Martin 2 A. Baccini 1 and P. Besse1 1 Laboratoire de Statistique et Probabilites UMR 5583 Universite Paul Sabatier 31062 Toulouse Cedex 9 France 2 Laboratoire de Pharmacologie et Toxicologie UR 66 Institut National de la Recherche Agronomique INRA 180 Chemin de Tournefeuille BP 3 31931 Toulouse Cedex 9 France Received 14 December 2006 Revised 6 March 2007 Accepted 16 May 2007 Recommended by Stephane Robin Microarray data acquired during time-course experiments allow the temporal variations in gene expression to be monitored. An original postprandial fasting experiment was conducted in the mouse and the expression of 200 genes was monitored with a dedicated macroarray at 11 time points between 0 and 72 hours of fasting. The aim of this study was to provide a relevant clustering of gene expression temporal profiles. This was achieved by focusing on the shapes of the curves rather than on the absolute level of expression. Actually we combined spline smoothing and first derivative computation with hierarchical and partitioning clustering. A heuristic approach was proposed to tune the spline smoothing parameter using both statistical and biological considerations. Clusters are illustrated a posteriori through principal component analysis and heatmap visualization. Most results were found to be in agreement with the literature on the effects of fasting on the mouse liver and provide promising directions for future biological investigations. Copyright 2007 S. Dejean et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION In the context of
