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Specifically, existing healthcare datasets can be analyzed with the proposed tools to test the allocational efficiency of medical treatments.
The two datasets can be analyzed separately by PLS2-DA.
Because the 2-step K-means + Ward's algorithm does not require a substantial amounts of computer processing power, large datasets can be analyzed efficiently by the methodology.
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With this configuration, the complete WTCCC dataset can be analyzed in 19 hours.
Before a dataset can be analyzed it must be preprocessed to remove nuisance variation and to make it comparable across individuals [ 93].
While this sequence redundancy may represent a convergence of knowledge towards the Earth's proteome [1] (with the caveat of possible bias in the niches and organisms that are being sequenced) from the point of view of finding networks of covarying residues in multiple sequence alignments (MSAs) it marks an increase in the number of datasets that can be analyzed.
The GRR is divided into two different datasets that can be analyzed separately.
Although the original Haley et al. (1994) algorithm cannot deal with such datasets, they can be analyzed if the algorithm is modified to include information from only a subset of markers.
Moreover, FASTLSA replaces a computationally intensive permutation test that was previously required to calculate significance of LSA statistics with a dramatic increase on the size of datasets that can be analyzed on a single desktop machine.
The rate of collection and number of samples we have for the majority of patients likely does not constitute a dataset that can be analyzed by existing approaches to 'measurably evolving population' (MEP, as per Drummond et al., 2003), and we do not want to overstate our evolutionary scenario.
An important advantage of the GOS dataset is that genomic data can be analyzed in relation to the location at which the samples were obtained.
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