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Concept of uncertainty ellipsoid is adopted to the biased identification.
To exclude biased identification as an explanation, we analyzed cases where one of the three mechanisms acts independently of the others.
Not considering the model and scenario uncertainties, might result in biased identification of important model parameters.
Although this may hone in on crucial reprogramming factors, this strategy may also suffer from biased identification of factors that efficiently activate the αMHC promoter, while excluding those that may promote full reprogramming.
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The central idea in this framework is the recognition that the biased parameter identification problem can be viewed as a diagnostic problem, and methods from fault diagnosis literature may be brought in to improve the performance.
To exclude the possibility that this contamination biased the identification of PKS I proteins, the sample of origin of each of protein identified was examined.
However, this method is biased towards identification of Ac-DAF-16 binding sites located between exons due to incompleteness of hookworm genome annotation and the inability to identify 5' ends and promoter sequences.
However, the results suggest that strict eligibility criteria could result in insufficient or biased case identification as less than 50% of individuals across any group report no medical co-morbidities.
However, EST sequencing is biased towards identification of highly expressed genes, such as genes involved in genetic information processing, especially translation, while GSS sequencing detects a more random selection of genes (Table 1).
IHC analysis treats accumulation of p53 protein as indicative of mutation; thus, IHC is biased toward identification of missense mutants and completely misses mutations that cause loss of p53 protein.
Studies also show that despite biases, identification is mostly done reliably, but the fact that outside information can affect decisions remains a worry for the justice system.
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