TY - GEN
T1 - Quantification of data extraction noise in probabilistic boolean network modeling
AU - Pal, Ranadip
AU - Datta, Aniruddha
AU - Dougherty, Edward
PY - 2009
Y1 - 2009
N2 - Probabilistic Boolean Networks have served as the main model for studying the application of optimal intervention strategies to favorably affect system dynamics. The errors originating in the data extraction or network inference process prevent the accurate estimation of the state transition probabilities of the network. The mathematical characterization of the uncertainties will enable us to analyze the performance of intervention strategies derived without considering the uncertainties and assist in the design of control policies robust to those uncertainties. In this paper, we will quantify the errors due to data extraction noise and discretization and their effects on the state transition and steady state probabilities of the probabilistic Boolean network.
AB - Probabilistic Boolean Networks have served as the main model for studying the application of optimal intervention strategies to favorably affect system dynamics. The errors originating in the data extraction or network inference process prevent the accurate estimation of the state transition probabilities of the network. The mathematical characterization of the uncertainties will enable us to analyze the performance of intervention strategies derived without considering the uncertainties and assist in the design of control policies robust to those uncertainties. In this paper, we will quantify the errors due to data extraction noise and discretization and their effects on the state transition and steady state probabilities of the probabilistic Boolean network.
UR - http://www.scopus.com/inward/record.url?scp=70349512927&partnerID=8YFLogxK
U2 - 10.1109/GENSIPS.2009.5174324
DO - 10.1109/GENSIPS.2009.5174324
M3 - Conference contribution
AN - SCOPUS:70349512927
SN - 9781424447619
T3 - 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
BT - 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
T2 - 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
Y2 - 17 May 2009 through 21 May 2009
ER -