Correction Log Ratios for Signal Saturation in cDNA Microarrays
Journal
Bioinformatics
Date Issued
2004-11
Author(s)
Abstract
Motivation: Pixel saturation occurs when the pixel intensity exceeds a threshold and the recorded pixel intensity is truncated. Microarray experiments are commonly afflicted with saturated pixels. As a result, estimators of gene expression are biased, with the amount of bias increasing as a function of the proportion of pixels saturated. Saturation is directly related to the photomultiplier tube (PMT) voltage settings and RNA abundance and is not necessarily associated with poor array or poor spot quality. When choosing PMT settings, higher PMT settings are desired because of improved signal-to-noise ratios of low-intensity spots. This improved signal is somewhat offset by saturation of high-intensity spots. In practice, spots with saturated pixels are discarded or the biased value is used. Neither of these approaches is appealing, particularly the former approach when a highly expressed gene is discarded because of saturation. Results: We present a method to correct for saturation using pixel-level data. The method is based on a censored regression model. Evaluations on several arrays indicate that the method performs well. Simulation studies suggest that the method is robust under certain model violations. © Oxford University Press 2004; all rights reserved.
SDGs
Other Subjects
complementary DNA; RNA; article; computer analysis; computer simulation; controlled study; DNA determination; DNA microarray; electric potential; gene expression; genetic model; priority journal; quality control; regression analysis; signal noise ratio; signal processing; Algorithms; Artifacts; Cell Line, Tumor; Gene Expression Profiling; Humans; Image Enhancement; Male; Microscopy, Fluorescence; Oligonucleotide Array Sequence Analysis; Prostatic Neoplasms; Signal Processing, Computer-Assisted; Spectrometry, Fluorescence; Stochastic Processes
Type
journal article