Evaluating Between-Pathway Models with Expression Data

  • Benjamin J. Hescott
  • Mark D. M. Leiserson
  • Lenore J. Cowen
  • Donna K. Slonim
Conference paper

DOI: 10.1007/978-3-642-02008-7_27

Volume 5541 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Benjamin J. Hescott
    • 1
  • Mark D. M. Leiserson
    • 1
  • Lenore J. Cowen
    • 1
  • Donna K. Slonim
    • 1
  1. 1.Department of Computer ScienceTufts University