Sentence examples for uses a linear regression from inspiring English sources
The primer efficiency was experimentally tested with the LinRegPCR programme developed by Ramakers et al. ([2003]) which uses a linear regression analysis of fluorescence data from the exponential phase of PCR amplification to determine amplification efficiency (E).
SimiVal uses a linear regression to test a modelled projection against benchmark cases of, perfect, observed and systematic-bias, calculated by rescaling the metrics from a random case relative to the observed, perfect case.
While both models exploit the correlation between mammal communities (defined in terms of functional groups) and arboreal heterogeneity, the first uses a multiple multivariate regression of community structure and arboreal heterogeneity, while the second uses a linear regression of the principal components of each ecospace.
REDUCE enumerates all possible kmers in the promoters up to a specified length and uses a linear regression model to find kmers that show significant correlation with gene expression levels from a single microarray experiment.
Here CCA uses a linear regression to identify the interpretable part of the main data (constrained space) and finds a solution within the constrained space, while ignoring the non-interpretable part of the data (unconstrained space) [ 15, 22].
Given a set of prior demographic parameters used in a coalescence simulation program (ms) to generate population datasets from which summary statistics are calculated, this method uses a linear regression to estimate the posterior distribution of these parameters based upon their similarity to a set of summary statistics obtained from observed data.
First, taking advantage of the large paternal HS families, a HS analysis was conducted in both populations independently, which uses a linear regression-based interval mapping approach to QTL identification (for details, see Knott et al. (1996)).
Predicted ages from portable luminescence reader signals using a linear regression appear to be indicative and useful.
Equation 5 indicates that given the QTL genotype we can regress y on the covariate z using a linear regression model.
The AUC was modelled using a linear regression model.
The adaptation is performed using a linear regression transformation matrix based on an NMF framework.
