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Random colour schemes also exist that are applicable to datasets with a large number of possible values per allele position, such as SSR data.
The interest of these statistics is that they are applicable to datasets with characteristics that prevent their analysis with current available programs such as IM [ 41], because of the presence of intragenic recombination, or MIMAR [ 8], because of the absence of fixed differences and shared polymorphisms at the same time.
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The cointegration test is applicable to datasets that are stationary at the same level (either first difference or second difference).
PCA is a multivariate eigenanalysis technique that is applicable to datasets that are approximately normally-distributed with variables that are linearly related [37].
The standard applies to all geographic data–– it is applicable to datasets in series, datasets, individual geographic features, and their attributes.
The "Min test) vs Max ref)" method is applicable to datasets with low replicate numbers, and fast to compute because no permutation procedure is necessary.
Taking dataset (mathcal {D}_{3}) for example, about 25% of SPNs are identified as noise and discarded when Eps is set to 4. However, it is difficult to determine the "right" parameters that are applicable to different datasets.
HMMs are very popular for CNV analysis but our findings underline the difficulty of using parameters that are applicable to different datasets.
The algorithms are general and are applicable to any dataset.
The rules and methods described here are applicable to all such datasets and analyses.
Based on simulations of different models it has been observed that differential equation models and dynamic Bayesian networks have high accuracy but they are computationally expensive and hence are applicable to only small datasets.
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