title: Bayesian error-in-variable survival model for the analysis of GeneChip arrays.
abstract: DNA microarrays in conjunction with statistical models may help gain a deeper understanding of the molecular basis for specific diseases. An intense area of research is concerned with the identification of genes related to particular phenotypes. The technology, however, is subject to various sources of error that may lead to expression readings that are substantially different from the true transcript levels. Few methods for microarray data analysis have accounted for measurement error in a substantial way and that is the purpose of this investigation. We describe a Bayesian error-in-variable model for the analysis of microarray data from a clinical study of patients with acute lymphoblastic leukemia. We focus in particular on the problem of identifying genes whose expression patterns are associated with duration of remission. This is a question of great practical interest since relapse is a major concern in the treatment of this disease. We explore the effects of ignoring the uncertainty in the expression estimates on the selection and ranking of genes.
authors: Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6021, USA. mtadesse@cceb.upenn.edu
authors: Mahlet G
authors: MG
authors: Tadesse
authors: Joseph G
authors: JG
authors: Ibrahim
authors: Robert
authors: R
authors: Gentleman
authors: Sabina
authors: S
authors: Chiaretti
authors: Jerome
authors: J
authors: Ritz
authors: Robin
authors: R
authors: Foa
mesh_terms: D001499:Bayes Theorem; D001699:Biometry; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling; D006801:Humans; D046228:Microarray Analysis; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010641:Phenotype; D054198:Precursor Cell Lymphoblastic Leukemia-Lymphoma / Q000235:genetics; D016016:Proportional Hazards Models; D012333:RNA, Messenger / Q000378:metabolism; D012044:Regression Analysis; D012074:Remission Induction; D017422:Sequence Analysis, DNA; D012984:Software
chemical_list: D012333:RNA, Messenger