tailieunhanh - Báo cáo hóa học: " DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach"

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: DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article lD59809 Pages 1-12 DOI ASP 2006 59809 DNA Microarray Data Analysis A Novel Biclustering Algorithm Approach Alain B. Tchagang1 and Ahmed H. Tewfik2 1 Department of Biomedical Engineering Institute of Technology University of Minnesota 312 Church Street SE Minneapolis MN 55455 USA 2 Department of Electrical and Computer Engineering Institute of Technology University of Minnesota 200 Union Street SE Minneapolis MN 55455 USA Received 15 May 2005 Revised 5 October 2005 Accepted 1 December 2005 Biclustering algorithms refer to a distinct class of clustering algorithms that perform simultaneous row-column clustering. Biclustering problems arise in DNA microarray data analysis collaborative filtering market research information retrieval text mining electoral trends exchange analysis and so forth. When dealing with DNA microarray experimental data for example the goal of biclustering algorithms is to find submatrices that is subgroups of genes and subgroups of conditions where the genes exhibit highly correlated activities for every condition. In this study we develop novel biclustering algorithms using basic linear algebra and arithmetic tools. The proposed biclustering algorithms can be used to search for all biclusters with constant values biclusters with constant values on rows biclusters with constant values on columns and biclusters with coherent values from a set of data in a timely manner and without solving any optimization problem. We also show how one of the proposed biclustering algorithms can be adapted to identify biclusters with coherent evolution. The algorithms developed in this study discover all valid biclusters of each type while almost all previous biclustering approaches will miss some. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION One of the major goals of gene expression data analysis is to uncover genetic .