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:
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References in periodicals archive ?
Identification of an intact ParaHox cluster with temporal colinearity but altered spatial colinearity in the hemichordate Ptychodera flava.
We examined potential colinearity of predictor variables using Pearson correlation coefficients and then evaluated variable colinearity in the multivariable models.
PCA removes the colinearity among the five variables included in this analysis (root, shoot, leaf and seed mass, and leaf area), which are functionally related.
The simple and adjusted coefficients, the Durbin-Watson statistics, and the colinearity coefficients were defined, as well as the level of significance of the variables in each model.
NT-proBNP was not included in multivariable models due to potential for colinearity with LV mass, age, and BMI.
In order to minimize the confounding effects of colinearity between regression variables, the model identification is conducted in two stages (Abushakra 2000).
Coverage encompasses variables and colinearity, interaction models, multilevel models, models for panel data, time series cross-sectional analysis, spatial models, logistic regression, multinomial logit, Poisson regression, instrumental variables, structural equation modeling, and latent variable models.
Colinearity among the potential covariates was also assessed using chi-square, Pearson correlation, analysis of variance, or Kruskal-Wallis, as appropriate.
2011) and the GDP-related factors, the explanatory power of one or all factors can be weakened due to colinearity.