Abstract
Between-Pathway Models (BPMs) are network motifs consisting of pairs of putative redundant pathways. In this paper, we show how adding another source of high-throughput data, microarray gene expression data from knockout experiments, allows us to identify a compensatory functional relationship between genes from the two BPM pathways. We evaluate the quality of the BPMs from four different studies, and we describe how our methods might be extended to refine pathways.
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Hescott, B.J., Leiserson, M.D.M., Cowen, L.J., Slonim, D.K. (2009). Evaluating Between-Pathway Models with Expression Data. In: Batzoglou, S. (eds) Research in Computational Molecular Biology. RECOMB 2009. Lecture Notes in Computer Science(), vol 5541. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02008-7_27
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DOI: https://doi.org/10.1007/978-3-642-02008-7_27
Publisher Name: Springer, Berlin, Heidelberg
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