A New Modified Histogram Matching Normalization for Time Series Microarray Analysis.
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.
Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AZ,The Netherlands. l.j.astola@tue.nl.
Laura
L
Astola
Biometris, Wageningen University and Research Centre, Wageningen 6708 PB, The Netherlands. jaap.molenaar@wur.nl.|Wageningen Centre for Systems Biology, Wageningen 6700 AC, The Netherlands. jaap.molenaar@wur.nl.
Jaap
J
Molenaar
histogram matching; quantile normalization; time series