Bayesian Hierarchical Model for Estimating Gene Expression Intensity Using Multiple Scanned Microarrays

被引：2

作者：

Gupta, Rashi ^{[1
,2
]}

Arjas, Elja ^{[1
,3
]}

Kulathinal, Sangita ^{[1
]}

Thomas, Andrew ^{[1
]}

Auvinen, Petri ^{[2
]}

机构：

[1] Univ Helsinki, Dept Math & Stat, POB 68, Helsinki 00014, Finland

[2] Univ Helsinki, Inst Biotechnol, Helsinki 00014, Finland

[3] Nat Publ Hlth Inst KTL, Helsinki 00300, Finland

来源：

EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY | 2008年 / 01期

基金：

芬兰科学院;

关键词：

D O I：

10.1155/2008/231950

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We propose a method for improving the quality of signal from DNA microarrays by using several scans at varying scanner sensitivities. A Bayesian latent intensity model is introduced for the analysis of such data. The method improves the accuracy at which expressions can be measured in all ranges and extends the dynamic range ofmeasured gene expression at the high end. Ourmethod is generic and can be applied to data from any organism, for imaging with any scanner that allows varying the laser power, and for extraction with any image analysis software. Results from a self-self hybridization data set illustrate an improved precision in the estimation of the expression of genes compared to what can be achieved by applying standard methods and using only a single scan.Copyright (C) 2008 Rashi Gupta et al.

引用

页数：11

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