A New Modified Histogram Matching Normalization for Time Series Microarray Analysis

L. Astola, J. Molenaar

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Microarray data is often utilized in inferring regulatory networks. Quantile normalization (QN) is a popular method to reduce array-to-array variation. We show that in the context of time series measurements QN may not be the best choice for this task, especially not if the inference is based on continuous time ODE model. We propose an alternative normalization method that is better suited for network inference from time series data.
Original languageEnglish
Pages (from-to)203-211
JournalMicroarrays
Volume3
Issue number3
DOIs
Publication statusPublished - 2014

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