TY - GEN
T1 - Retrieving common dynamics of gene regulatory networks under various perturbations
AU - Chang, Young Hwan
AU - Dobbe, Roel
AU - Bhushan, Palak
AU - Gray, Joe W.
AU - Tomlin, Claire J.
N1 - Funding Information:
ACKNOWLEDGMENTS This work is supported in part by NIH under the Stanford Center for Systems Biology, and by NIH under grant 1P01GM09955-01.
Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/8
Y1 - 2015/2/8
N2 - Recently, with the growth of high-throughput proteomic data, in particular time series gene expression data from various perturbations, a general question that has arisen is how to extract meaningful structure from inherently heterogeneous data. Little is known about exactly how these gene regulatory networks (GRNs) operate under different stimuli. Challenges due to the lack of knowledge may cause bias or uncertainty in identifying parameters or inferring the GRN structure. We propose a new algorithm which enables us to estimate bias error due to the effect of perturbations, and correctly identify the common graph structure among biased inferred graph structures. To do this, we retrieve common dynamics of the GRN subject to various perturbations inspired by image repairing in computer vision [1].
AB - Recently, with the growth of high-throughput proteomic data, in particular time series gene expression data from various perturbations, a general question that has arisen is how to extract meaningful structure from inherently heterogeneous data. Little is known about exactly how these gene regulatory networks (GRNs) operate under different stimuli. Challenges due to the lack of knowledge may cause bias or uncertainty in identifying parameters or inferring the GRN structure. We propose a new algorithm which enables us to estimate bias error due to the effect of perturbations, and correctly identify the common graph structure among biased inferred graph structures. To do this, we retrieve common dynamics of the GRN subject to various perturbations inspired by image repairing in computer vision [1].
UR - http://www.scopus.com/inward/record.url?scp=84962022112&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962022112&partnerID=8YFLogxK
U2 - 10.1109/CDC.2015.7402597
DO - 10.1109/CDC.2015.7402597
M3 - Conference contribution
AN - SCOPUS:84962022112
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 2531
EP - 2536
BT - 54rd IEEE Conference on Decision and Control,CDC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 54th IEEE Conference on Decision and Control, CDC 2015
Y2 - 15 December 2015 through 18 December 2015
ER -