Iterative function separation for gene regulatory function identification

Palak Bhushan; Young Hwan Chang; Claire J. Tomlin

doi:10.1109/CDC.2015.7402098

Iterative function separation for gene regulatory function identification

Palak Bhushan, Young Hwan Chang, Claire J. Tomlin

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this work, we pose the problem of gene regulatory function identification using a new general framework based on function separation. We prove the uniqueness of the solution within this framework in an almost always sense. Additionally, we develop an iterative scheme, called iterative function separation (IFS), which is guaranteed to converge to a solution. Both these results together guarantee the computation of the unique solution. We also develop theoretical limits on the number of gene expression level measurements (time samples) sufficient to uniquely reconstruct the network. The proposed method (IFS) is validated using synthetic networks both within and outside of the modeling domain of the new framework.

Original language	English (US)
Title of host publication	Proceedings of the IEEE Conference on Decision and Control
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	133-138
Number of pages	6
Volume	2016-February
ISBN (Print)	9781479978861
DOIs	https://doi.org/10.1109/CDC.2015.7402098
State	Published - Feb 8 2016
Event	54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan Duration: Dec 15 2015 → Dec 18 2015

Other

Other	54th IEEE Conference on Decision and Control, CDC 2015
Country	Japan
City	Osaka
Period	12/15/15 → 12/18/15

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Access to Document

10.1109/CDC.2015.7402098

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Iterative function separation for gene regulatory function identification. / Bhushan, Palak; Chang, Young Hwan; Tomlin, Claire J.

Proceedings of the IEEE Conference on Decision and Control. Vol. 2016-February Institute of Electrical and Electronics Engineers Inc., 2016. p. 133-138 7402098.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bhushan, P, Chang, YH & Tomlin, CJ 2016, Iterative function separation for gene regulatory function identification. in Proceedings of the IEEE Conference on Decision and Control. vol. 2016-February, 7402098, Institute of Electrical and Electronics Engineers Inc., pp. 133-138, 54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, 12/15/15. https://doi.org/10.1109/CDC.2015.7402098

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