comparison of pattern detection methods in microarray time series of the segmentation clock比较模式检测方法在微阵列分割时钟的时间序列.pdf

Comparison of Pattern Detection Methods in Microarray Time Series of the Segmentation Clock ´ 1 2 3,4,5 6,7,8 Mary-Lee Dequeant , Sebastian Ahnert , Herbert Edelsbrunner , Thomas M. A. Fink , Earl F. 1 1 9 3 10 1 Glynn , Gaye Hattem , Andrzej Kudlicki , Yuriy Mileyko , Jason Morton , Arcady R. Mushegian , Lior 10 9 10 10 ´ 1,11 Pachter , Maga Rowicka , Anne Shiu , Bernd Sturmfels , Olivier Pourquie * 1 Stowers Institute for Medical Research, Kansas City, Missouri, United States of America, 2 Theory of Condensed Matter, Cavendish Laboratory, Cambridge, United Kingdom, 3 Department of Computer Science, Duke University, Durham, North Carolina, United States of America, 4 Department of Mathematics, Duke University, Durham, North Carolina, United States of America, 5 Geomagic, Research Triangle Park, North Carolina, United States of America, 6 INSERM U900, Paris, France, 7 CNRS UMR 144 Curie Institute, Paris, France, 8 Ecole des Mines de Paris, Paris Tech, Fontainebleau, France, 9 Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America, 10 Department of Mathematics, University of California, Berkeley, California, United States of America, 11 Howard Hughes Medical Institute, Kansas City, Missouri, United States of America Abstract While genome-wide gene expression data are generate