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A correlation of the reference patterns shifted by the expected values of the ICFO is evaluated as follows: M i I, j = ∑ k = 0 N p - 1 D j ( k + I ) ℜ { Q ( k ) Q * ( k - 1 ) } (13).
Their association measures – which are un-normalized segregation indices – are the weighted means of some function (to be specified) of the ratio of observed-to-expected values of each entry in a contingency table, where the mean is weighted by the expected values.
Percent cross-reactivity was calculated by dividing the interpolated values by the expected values based on an oligomer standard curve at comparable protein concentrations.
This is due to the fact that the values of the dispersions are small as compared with the means, and that the variances in Equation (1) are highly influenced by the expected values.
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However, deviations from a neutral model can produce false signals of selection both by skewing the expected values of test statistics, and by inflating the variance of the underlying distributions of test statistics (4, 10, 13– 213.
This can be done by using the expected values of reliable 3D mobile attributes to give a starting point in the search of parallelepiped attributes, and optimising in a local neighbourhood of α and h parallelepiped attributes.
The statistical analysis used is rather robust and compensates for frequency differences by adapting the expected values.
This is because the BeadStudio software calls the genotypes of a given locus by comparing the observed values with the expected values, defined by the Human610-Quadv1B Cluster file, which is based on gDNA samples [ 22, 23].
A number of studies that a station correction were estimated from comparison of the observed seismic intensities and the expected values by the attenuation relation.
The results obtained showed a precision of 2% (1σ) and the results deviated from the expected values by < 4% on average.
Data were normalized by log2 transformation which centres the expected values around 0 (log2(1) = 0) and 1 (log2(2) = 1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com