Abstract
This paper derives a sparse optimal perturbation of gene regulatory networks by determining the optimal perturbation of the minimal number of individual genes that force the network to settle into desired equilibrium states. Previous efforts have led to intervention in gene regulatory networks by deriving the optimal perturbation of the state probability transition matrix. Current technology in molecular biology, however, is limited to perturbation of the state of individual genes, not the state probability transition matrix. Our computer simulation experiments on the Human melanoma gene regulatory network demonstrate the superiority of the proposed approach to gene regulation in comparison to the previous methods based on the marginal of the optimal perturbation of the probability transition matrix of the network.
Original language | English (US) |
---|---|
Title of host publication | 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings |
Pages | 1167-1171 |
Number of pages | 5 |
DOIs | |
State | Published - Oct 18 2013 |
Externally published | Yes |
Event | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada Duration: May 26 2013 → May 31 2013 |
Other
Other | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 |
---|---|
Country/Territory | Canada |
City | Vancouver, BC |
Period | 5/26/13 → 5/31/13 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering