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Because the dataset of disease-associated alleles had a deficiency of high-frequency alleles, this suggests that ancestral states were correctly inferred.
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This is because the datasets of these two categories present distinct irregular fluctuations similar to noise that cannot be formulated by a mathematical expression.
This transitional feature is not found in the analysis of VEI datasets but in the modeling of the eruption magnitude dataset, probably because the datasets of eruption magnitude are taken at smaller intervals (every half an order of magnitude) and also contain different magnitude eruptions, which are larger than each magnitude category.
Because the datasets of the four genes were highly congruent, a combined analysis was conducted on a 2743 bases long alignment, obtained by concatenation of all genes for each sampled morphospecies, with a Bayesian approach.
This suggested that some lipids were affected because of the removal from the dataset of the data for the 28 smokers.
The prediction of drug target interactions or compound protein interactions is more complicated because the dataset consist of drug target pairs or compound protein pairs.
Because the comprehensive dataset of the Dst index is available since 1957, we can see the long-term correlation characteristics between solar and geomagnetic activities in the interval including six solar maxima.
Because the comparative dataset of normal tissues was both broader and deeper for the 133A platform, additional genes from this platform, albeit with greater than 50% CV, could be considered to be tissue-selective (e.g. COL2A1).
In the bivariate analysis, the residual covariance was set to zero because the dataset was composed of two separate parts: one containing records for litter size and the other for birth mass and head width.
Because the dataset from Department of Epileptology, University of Bonn, Germany [21, 22], has been widely used for performance demonstration in many studies, the evaluation presented here focused on analyzing methods with this dataset for fair comparisons [8, 12, 14, 18, 23 34].
Because the dataset included many pairs of closely related animals, the forward prediction scheme resulted in many testing animals having close relatives in the training set.
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CEO of Professional Science Editing for Scientists @ prosciediting.com