Sentence examples for by fitting a local from inspiring English sources

The headshape information is used in the standard analysis software for localization of activity sources (4D Neuroimaging – WHS 1.2.6) by fitting a local sphere to the head shape underneath the selected channel groups.

a — Differential abundance of OTUs in the earliest diverged Oryza species rhizosphere was assessed by fitting a local regression model with a negative binomial distribution to the sequence count data and testing for differential abundance with a likelihood ratio test as implemented in the R package DESeq2 (Love et al. 2014) in conjunction with the Phyloseq package (McMurdie and Holmes 2013).

We conducted analysis of the differential abundance of OTUs in different samples by fitting a local regression model with a negative binomial distribution to the data and testing for differential abundance with a likelihood ratio test as implemented in the R package DESeq2 (Love et al. 2014) and in conjunction with the Phyloseq package (McMurdie and Holmes 2013).

Differential abundance of OTUs in cultivated or wild rice rhizosphere was assessed by fitting a local regression model with a negative binomial distribution to the data and testing for differential abundance with a likelihood ratio test as implemented in the R package DESeq2 (Love et al. 2014) in conjunction with the Phyloseq package (McMurdie and Holmes 2013).

Data from the first year of sampling were used to estimate the parameters of the neutral theory by fitting a local Zero-Sum-Multinomial distribution [2], [53].

Goodness of fit for each model was evaluated by fitting a local weighted regression (LOESS) model between EBV obtained from the full dataset and mean incidence calculated for each sire in the full dataset.

Therefore, we estimated the baseline by fitting a monotone local minimum curve, which follows the spectrum when it is decreasing and remains unchanged when the spectrum is increasing, to the smoothed spectrum.

From this, all local maxima are identified and approximated by fitting a mixture of Gaussians.

They may be obtained from local averages with Gaussian weighting,[ 37] or by fitting a smooth function, for example, a low-order polynomial.

Long-range organization of correlation patterns (left) is quantified by fitting an exponential decay to the peaks (local maxima) in the correlation pattern as a function of their distance to the seed point, using all correlation patterns.

Left: The anisotropic structure of local correlation (that is the peak around the seed point) is quantified by fitting an ellipse to the 0.7 contour line (least-square fit) and computing its eccentricity.