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Liu and Sarkar [37] proposed a population hidden Markov model to normalize the gait features based on a generic walking model.
Calculated the Akaike weights for each model to normalize the relative likelihood values by (column 4) wi = frac{{exp left( { - frac{1}{2}Delta i} right)}}{{mathop sum nolimits_{r = 1}^{R} { exp }left( { - frac{1}{2}Delta r} right)}} .
The signatures were corrected by zero order Markov model to normalize the base composition of the different species.
The fRMA algorithm utilizes a platform-dependent background model to normalize the expression values [ 34]: therefore, the samples are clustered by platform and not by study.
However, because our model counted the number of positive cases as the outcome variable, we wanted to use some form of the submissions data as the "weighted" standardizing variable on the right side of the regression model to normalize counties.
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A large amount of effort has focused on developing mathematical models to normalize and identify differentially expressed genes [1].
State probabilities, rather than absolute numbers, are modeled to "normalize" the data, nullifying the effects of variation in the force of infection among participants.
The script (metabR), written in the language R, uses linear mixed-effect modeling to normalize metabolomics data containing both fixed- and random-effect confounding variables.
The independent model was therefore used to discard cells too irregular to be well fit by any model and to normalize fits in the local and global models.
In this metric, the Gaussian scale mixtures (GSM) model is employed to normalize the coefficients in the contourlet subband of luminance image and disparity map of the 3D images.
For comparison of relative permeability curves in full range of saturation, the Corey's model was used to normalize saturation and relative permeability values to fit the experimental data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com