Sentence examples for regressed line from inspiring English sources

Exact(2)

In this notation, TMs with high hydrophobicity and low complexity will have low z-scores (see methods for the derivation of the regressed line and normal equation).

To determine the sign of the z-score in (1), we use the normal to the regressed line as decision criterion; i.e., the exponent s is set equal to one for (3) x Φ - μ Φ σ Φ ≥ - 1 ρ c, Φ x c - μ c σ c and equal to zero otherwise.

Similar(56)

The GWAS was performed using PLINK (Purcell et al. 2007) by regressing line means of this transition probability on each of approximately 2,400,000 SNPs after correcting for cryptic relatedness, presence of inversions, and presence of Wolbachia (Huang et al. 2014).

While prediction accuracy is traditionally measured as the correlation (r) between predicted and observed line values given this statistics connection with selection accuracy, we measured the coefficient of determination (r) obtained by regressing line values against predicted line values obtained by GBLUP or by bagging family-nested QTL models during cross-validation.

We regressed limb lengths on SVL (both log transformed) and used the residuals about the regression line as an estimate of size corrected limb lengths in all models.

The observed probability was regressed on the predicted probability, and R was calculated to measure the goodness of fit of the linear regression line.

A man's log PSA levels are regressed on the dates of measurement: where α and β are respectively the estimated intercept and gradient of the regression line.

The mean eye area of 154 DGRP lines crossed to the hINSC96Y line was regressed on each SNP with a minor allele frequency (MAF) >5% (PLINK 1.07, quantitative trait mode).

The bottom line is this: this team has not improved since last season and in some areas – quarterback and offensive line – has regressed.

After a promising start in the first two games, against Tampa Bay in Prague, the line has regressed.

Incorporation of the additive covariance in the model means each line is regressed toward the level predicted by its relatives, rather than to a common level for all genotypes, and reflects the theory of breeding by selection of parents for the next generation.

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