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Microarray image analysis: background estimation using quantile and morphological filters.

Anders Bengtsson1, Henrik Bengtsson

  • 1Mathematical Statistics, Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden. ab@maths.lth.se

BMC Bioinformatics
|March 1, 2006
PubMed
Summary
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Accurate microarray analysis requires precise background estimation. A novel rank-filter algorithm significantly reduces bias and variability compared to standard morphological opening methods, improving gene expression accuracy.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray experiments exhibit large gene expression differences (up to 103-fold).
  • Accurate estimation of low gene expression levels is critical for reliable analysis.
  • Background noise in scanned signals must be subtracted to determine true spot intensity.

Purpose of the Study:

  • To evaluate rank and quantile filters for estimating between-spot intensity levels in microarrays.
  • To compare a new rank-filter algorithm against existing methods in commercial software.

Main Methods:

  • Examination of fundamental properties of rank and quantile filters.
  • Implementation and comparison of a novel rank-filter algorithm.
  • Benchmarking against Spot (CSIRO) and GenePix Pro (Axon Instruments) software.

Related Experiment Videos

Main Results:

  • The novel rank filter demonstrated significantly lower bias (2 to -2) compared to morphological opening (-47 to -248).
  • Morphological opening showed 3x higher variability than the rank filter.
  • GenePix Pro's region-based estimate had >10x higher variability than the rank filter due to adaptive window sizing.

Conclusions:

  • Advanced rank filters offer performance comparable to the best region-based methods when carefully implemented.
  • Morphological opening generally performs poorly, exhibiting substantial spatial-dependent bias.
  • A non-adaptive region-based method achieved bias and variability comparable to the rank filter.