colinearity


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col·in·e·ar·i·ty

(kol'in-ē-ar'i-tē),
1. Lying in a straight line.
2. The phenomenon that the orderings of the corresponding elements of DNA, the RNA transcribed from it, and the amino acid sequence translated from the RNA are identical.
[L. collineo, to direct in a straight line]

col·in·e·ar·i·ty

(kō'lin-ē-ar'i-tē)
1. Lying in a straight line.
2. The phenomenon that the orderings of the corresponding elements of DNA, the RNA transcribed from it, and the amino acid sequence translated from the RNA are identical.
[L. collineo, to direct in a straight line]
Colinearityclick for a larger image
Fig. 115 Colinearity . The DNA bases are transcribed from left to right.

colinearity

the linear relationship between a piece of DNA coding (a CISTRON) and the POLYPEPTIDE CHAIN (see Fig. 115 ). Therefore:
References in periodicals archive ?
Because of a high degree of colinearity between BM and age (Pearson correlation: r > 0.
In addition, the new system is designed to offer 80nm colinearity.
Condition indexes and variance decomposition proportions were used to test colinearity among the independent variables and identify the sources of colinearity.
All covariates were checked for colinearity, and those found to be correlated with one another were evaluated separately in the models to determine which were the best predictors.
In order to avoid the potential colinearity problems from the inclusion of [[r.
To avoid the effects of colinearity, variables that were highly correlated were not entered into the regression models simultaneously.
Outpatient facility characteristics were added singly to the final model because of colinearity between these characteristics.
To avoid problems associated with colinearity, we performed a correlation analysis to identify pairs of predictor variables that had high colinearity ([absolute value of r] [greater than or equal to] 0.
29), thus making it difficult to rule out the effect of colinearity in these studies.
The issues we have highlighted here--temporal relationships between stressors and pollution; nonlinearity and saturation effects; spatial colinearity across exposures; age-related susceptibility and critical periods; and distinctions between processes related to illness etiology and exacerbation--will be critical in exploring social--environmental interactions.
Estimates are imprecise and sensitive to subsample specifications due to substantial colinearity.