Iterative function separation for gene regulatory function identification

Palak Bhushan, Young Hwan Chang, Claire J. Tomlin

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages133-138
Number of pages6
Volume2016-February
ISBN (Print)9781479978861
DOIs
StatePublished - Feb 8 2016
Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Duration: Dec 15 2015Dec 18 2015

Other

Other54th IEEE Conference on Decision and Control, CDC 2015
CountryJapan
CityOsaka
Period12/15/1512/18/15

Fingerprint

Genes
Gene
Level measurement
Iterative Scheme
Iterative methods
Gene expression
Unique Solution
Gene Expression
Uniqueness
Sufficient
Converge
Iteration
Modeling
Framework

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Bhushan, P., Chang, Y. H., & Tomlin, C. J. (2016). Iterative function separation for gene regulatory function identification. In Proceedings of the IEEE Conference on Decision and Control (Vol. 2016-February, pp. 133-138). [7402098] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2015.7402098

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 proceedingConference 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
Bhushan P, Chang YH, Tomlin CJ. Iterative function separation for gene regulatory function identification. In Proceedings of the IEEE Conference on Decision and Control. Vol. 2016-February. Institute of Electrical and Electronics Engineers Inc. 2016. p. 133-138. 7402098 https://doi.org/10.1109/CDC.2015.7402098
Bhushan, Palak ; Chang, Young Hwan ; Tomlin, Claire J. / Iterative function separation for gene regulatory function identification. Proceedings of the IEEE Conference on Decision and Control. Vol. 2016-February Institute of Electrical and Electronics Engineers Inc., 2016. pp. 133-138
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