PMC:4718081 / 9611-10401 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4718081","sourcedb":"PMC","sourceid":"4718081","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4718081","text":"Estimation of mini network disruption probability\nIn this study Monte Carlo Simulation is used to estimate probability of mini network disruption. At the beginning, generate random perturbations for all the biomarkers in the mini network and assess the mini network disruption by U, K, and φ after random perturbation. Finally, calculate probability of network disruption (Equation 4) and its relative error (Equation 5), and repeat the above steps until the relative error is less than 5%.\n(4) p f = d D (5) ε p = t α ∕ 2 p f ( 1 - p f ) p f n tα∕2 is unilateral threshold of t distribution. pf is the probability of mini network disruption. n is the predefined iterative number. d is number of network disruption. D is the current iterative number.","divisions":[{"label":"title","span":{"begin":0,"end":49}},{"label":"p","span":{"begin":50,"end":490}},{"label":"label","span":{"begin":491,"end":494}},{"label":"label","span":{"begin":517,"end":520}}],"tracks":[]}