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Many different methods have been developed with the goal of increasing the analytical sensitivity of mutation testing, however, increased sensitivity often comes with the cost of lower accuracy, increased complexity, and higher costs [ 17].
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However, mutation testing of BCAC samples had been performed for many studies with selected design that might be expected to be enriched for BRCA1 and BRCA2 mutation carriers, and these known mutation carriers were excluded from analysis.
However, routine PKD2 mutation testing that does not require the patient to be present, will become more economical and identifies a group of patients likely to have preserved renal function for longer [ 18].
However, if CDH1 mutation testing could be a sole surrogate predictor of the presence of microscopic disease, then it might change the decision from prophylactic to therapeutic total gastrectomy.
In any fair comparison, care should be taken to reduce the potential overlap between the mutation datasets used for training and testing; however, this level of testing is not possible, as it would require obtaining and retraining each algorithm with common datasets.
However, the authors do not present a solution for how to apply the mutation testing, i.e., which mutant operators should be used to generate the testing requirements.
However, there is a critical need to set standards for this type of mutation testing (van Krieken and Tol, 2009).
However, it needs to be mentioned that so far p53 immunohistochemistry may not fully resemble TP53 mutation testing.
According to section 'Fault-based testing and mutation testing', mutation testing [41] is a largely explored fault-based criterion.
This paper describes a new approach to mutation testing, called semantic mutation testing.
Mutation testing is a powerful and flexible test technique.
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