A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Is the optimal intervention policy UC superior to the suboptimal policy MFPT over inferred probabilistic Boolean network models?
2016
Genetics and Molecular Research
A salient problem in translational genomics is the use of gene regulatory networks to determine therapeutic intervention strategies. Theoretically, in a complete network, the optimal policy performs better than the suboptimal policy. However, this theory may not hold if we intervene in a system based on a control policy derived from imprecise inferred networks, especially in the small-sample scenario. In this paper, we compare the performance of the unconstrained (UC) policy with that of the
doi:10.4238/gmr15049334
pmid:28002610
fatcat:zmv3lap6pfg35phu3yxf25tngq