TAILIEUCHUNG - Báo cáo sinh học: "Analysis of a simulated microarray dataset: Comparison of methods for data normalisation and detection of differential expression (Open Access publication)"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Analysis of a simulated microarray dataset: Comparison of methods for data normalisation and detection of differential expression (Open Access publication) | Genet. Sel. Evol. 39 2007 669-683 INRA EDP Sciences 2007 DOI gse 2007031 Available online at Original article Analysis of a simulated microarray dataset Comparison of methods for data normalisation and detection of differential expression Open Access publication Michael WATSONa Mónica PẾREZ-ALEGREb Michael Denis BARONc Céline DELMASd Peter DOVCe Mylène DUVALd Jean-Louis FOULLEYf Juan José Garrido-PavONb Ina HULSEGGEg Florence JAFFREZlCf Ángeles JlMENEZ-MARfNb Miha LAVRICe Kim-Anh LE CAOh Guillemette MAROTf Daphné MOUZAKIh Marco H. POOLc Christèle ROBERT-GRANlEd Magali San CRISTOBALd Gwenola TOSSER-KLOPPd David WADDINGTONh Dirk-Jan de KONINGh a Institute for Animal Health Compton UK IAH_C b University of Cordoba Cordoba Spain CDB c Institute for Animal Health Pirbright UK IAH_P d INRA Castanet-Tolosan France INRA_T e University of Ljubljana Slovenia SLN f INRA Jouy-en-Josas France INRA_J g Animal Sciences Group Wageningen UR Lelystad NL IDL h Roslin Institute Roslin UK ROsLiN Received 10 May 2007 accepted 10 July 2007 Abstract - Microarrays allow researchers to measure the expression of thousands of genes in a single experiment. Before statistical comparisons can be made the data must be assessed for quality and normalisation procedures must be applied of which many have been proposed. Methods of comparing the normalised data are also abundant and no clear consensus has yet been reached. The purpose of this paper was to compare those methods used by the EADGENE network on a very noisy simulated data set. With the a priori knowledge of which genes are differentially expressed it is possible to compare the success of each approach quantitatively. Use of an intensity-dependent normalisation procedure was common as was correction for Corresponding author Institute for Animal Health Informatic groups Compton Laboratory Compton RG20 7 NN Newbury Bershive UK. Article published by EDP Sciences and available at http .

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