Simulation of cDNA microarrays via a parameterized random signal model

被引：37

作者：

Balagurunathan, Y ^{[1
]}

Dougherty, ER ^{[1
]}

Chen, YD ^{[1
]}

Bittner, ML ^{[1
]}

Trent, JM ^{[1
]}

机构：

[1] Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA

来源：

JOURNAL OF BIOMEDICAL OPTICS | 2002年 / 7卷 / 03期

关键词：

cDNA microarray; image simulation;

D O I：

10.1117/1.1486246

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

cDNA microarrays provide simultaneous expression measurements for thousands of genes that are the result of processing images to recover the average signal intensity from a spot composed of pixels covering the area upon which the cDNA detector has been put down. The accuracy of the signal measurement depends on using an appropriate algorithm to process the images. This includes determining spot locations and processing the data in such a way as to take into account spot geometry, background noise, and various kinds of noise that degrade the signal. This paper presents a stochastic model for microarray images. There are over 20 model parameters, each governed by a probability distribution, that control the signal intensity, spot geometry, spot drift, background effects, and the many kinds of noise that affect microarray images owing to the manner in which they are formed. The model can be used to analyze the performance of image algorithms designed to measure the true signal intensity because the ground truth (signal intensity) for each spot is known. The levels of foreground noise, background noise, and spot distortion can be set, and algorithms can be evaluated under varying conditions. (C) 2002 Society of Photo-Optical Instrumentation Engineers.

引用

页码：507 / 523

页数：17

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