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Table 6 Characteristics of MAS5, RMA and dChip

From: A Bayesian calibration model for combining different pre-processing methods in Affymetrix chips

  Background correction Perfect Match correction Normalisation Summary
MAS5 Divide the chip in 16 regions. The lowest 2% is the background. Weighted average over all the regions. Ideal Mismatch Scaling 1 step Tukey Biweight
RMA Global model for the distribution of the probe intensities No correction Quantile Median Polish
dChip No correction No correction Invariant set using one array as default Multi-chip linear model
  1. Characteristics of MAS5, RMA and dChip in terms of perfect match correction, normalization and summarization method.