Sentence examples for fit a background from inspiring English sources

The dominating background shape is more complicated with a curved background requiring higher-order Zernike terms to fit a background surface.

To fit a background mutation model, we used PAML [ 35] to fit the HKY model [ 34] to the promoters that contain the characterized binding sites for each factor.

If you would like to fit a background-subtracted source spectrum using a common RMF and ARF for the source and background, or fit source and background spectra simultaneously with proper and distinct RMFs and ARFs (but with one response per model expression, unlike in this thread), refer to the Sherpa thread Simultaneously Fitting Source and Background Spectra.

The set_bkg_model command sets the model expression to be used for fitting a background dataset.

To manually set the complete convolved model expression to be used for fitting a background data set - i.e., other than automatically with set_bkg_model - use the set_full_model and set_bkg_full_model commands (see "ahelp set_full_model").

Cutoffs for significant localization changes were determined by fitting a "background" normal Gaussian model and a uniform "outlier" density model to the z-LOC score distribution.

It first fits a background model using genomic DNA and then feeds the estimated parameters into a Bayesian model that combines information from multiple SNPs within a gene to infer ASE.

The extension fitted a polygenic background via a relationship matrix to deal with structure, as regularly practiced in animal genetics (e.g. [ 23]) and recently applied in human genetics (e.g. [ 3]).

Qualitatively, therefore, population genetic patterns in A. thaliana and A. lyrata seem to fit a simple model of background selection quite well.

Features are longer, and topical either because they fit a recent discovery into its background, or for a different reason--the season, perhaps, or a political event.

Given a profile, the Multiple Expectation Maximisation for Motif Elicitation (MEME) algorithm [ 20, 21] evaluates the likelihood of each oligo of given length to fit the profile with respect to the rest of the sequences, while the rest of the sequences should fit a 'background model' better than the profile.