Reconstructing networks using co-temporal functions

Authors:
Edward E. Allen;Anthony Pecorella;Jacquelyn S. Fetrow;David J. John;William Turkett
Affiliations:
Wake Forest University, Winston-Salem, North Carolina;Wake Forest University, Winston-Salem, North Carolina;Wake Forest University, Winston-Salem, North Carolina;Wake Forest University, Winston-Salem, North Carolina;Wake Forest University, Winston-Salem, North Carolina
Venue:
Proceedings of the 44th annual Southeast regional conference
Year:
2006

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Abstract

Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathematical invariants over time series data. Two modeling techniques for co-temporal networks, one based on algebraic techniques and the other on Bayesian inference, are compared and contrasted on simulated biological network data.