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Microarrays 2014, 3(3), 203-211; doi:10.3390/microarrays3030203
Article

A New Modified Histogram Matching Normalization for Time Series Microarray Analysis

1,*  and 2,3
Received: 24 March 2014; in revised form: 19 June 2014 / Accepted: 25 June 2014 / Published: 1 July 2014
Download PDF [636 KB, uploaded 1 July 2014]
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.
Keywords: quantile normalization; histogram matching; time series quantile normalization; histogram matching; time series
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Astola, L.; Molenaar, J. A New Modified Histogram Matching Normalization for Time Series Microarray Analysis. Microarrays 2014, 3, 203-211.

AMA Style

Astola L, Molenaar J. A New Modified Histogram Matching Normalization for Time Series Microarray Analysis. Microarrays. 2014; 3(3):203-211.

Chicago/Turabian Style

Astola, Laura; Molenaar, Jaap. 2014. "A New Modified Histogram Matching Normalization for Time Series Microarray Analysis." Microarrays 3, no. 3: 203-211.


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