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To achieve the necessary long-term virus suppression, we believe that CARs must be designed for optimal potency and anti-HIV specificity, and also for minimal probability of virus escape and CAR immunogenicity.
A threshold that provides a minimal probability of error is derived.
The Bayes error corresponds to the minimal probability of classification error for any given distributions [33], [34], that is, the probability that a sample is assigned to a wrong class [10].
We generated homology models based on the reported structure of the MLL1 CXXC domain to design isolated CXXC domain constructs and CXXC domain deletion mutants for Dnmt1 and Tet1 with minimal probability of structural alteration.
This continuous measure can be combined using further simple functions: mean returns the mean probability of success by the three classifiers [17]; min yields the minimal probability of success (a pessimistic measure); max results in the maximal predicted probability of success (an optimistic measure); median returns the median probability.
The primary outcome measures are at 24 h with a minimal probability of drop out.
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This system applies PSO and the Pareto optimal solution to achieve the optimization of the multiple objectives of minimal LCCs (economy), minimal failure probability of the building (safety), minimal spalling probability of concrete cover (serviceability), maximum rationality, and minimal maintenance times.
It is desirable to find a test with a minimal probability β for a fixed or prescribed probability of type I.
The minimal incremental probability of becoming non-compliant after generic substitution needs to be 4.5% in order for branded risperidone to be cost-effective compared to switching a patient to generic risperidone at a WTP threshold of €40,000 per QALY gained.
This lowest probability was recorded at each of the m possible PPM positions, and the overall match score for a given k-mer/PPM pairing was the highest of these minimal probabilities.
A method for determination of a minimal value for probability of correct estimation of measurement results (PCEMR), using conditional algorithms is developed.
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