Model based identification of transcription factor activity from microarray data

Abstract

With the increase in volume of gene expression data available from high throughput microarray experiments, much research interest has been directed at building mathematical models of the process of gene regulation. Such models have primarily been used for the so called reverse engineering of regulatory networks; inferring possible regulatory interactions… (More)

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@inproceedings{Rogers2006ModelBI, title={Model based identification of transcription factor activity from microarray data}, author={Simon Rogers and Raya Khanin and Mark A. Girolami}, year={2006} }