Designing Experiments for Optimal Reduction of Uncertainty in Gene Regulatory Networks
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One of the main issues in systems biology is limited resources for conducting biological experiments. Therefore, a strategy for prioritizing the experiments seems to be inevitable. Experimental design is the process of planning experiments in such a way to make experiments as informative as possible. In this work, we propose a novel strategy for designing effective experiments that can optimally reduce the uncertainty in gene regulatory networks, based on the concept of mean objective cost of uncertainty (MOCU). © 2013 IEEE.
author list (cited authors)
Dehghannasiri, R., Yoon, B., & Dougherty, E. R.