Sentence examples for using the residual analysis from inspiring English sources
Two-codon context bias was studied in complete ORFeome sequences using the residual analysis tools available in the software package ANACONDA 1.0 (a detailed explanation of this software can be found in [20], [29].
We analyzed 1000 replicates of each scenario with four models: (a) a full mixed model including a polygenic effect, (b) a regression analysis using the residual of a mixed model as a trait score (so called GRAMMAR approach), (c) a regression analysis using the estimated breeding value as a trait score, and (d) a regression analysis that uses the raw phenotype as a trait score.
A study by Kereliuk et al. [9] and Verfaille et al. [10] attempted to detect overblown flute fingering using the residual noise spectrum with principal component analysis (PCA) and linear discriminant analysis (LDA).
Here, we use the residual signal from LPC analysis to estimate the parameters of the vocal folds.
We then performed a regression analysis predicting antibody response from gene expression and we used the residuals from that analysis to perform another association analysis.
We further investigated sources of heterogeneity by doing meta-regression analysis and used the residual I to estimate residual heterogeneity after adjusting for the characteristic of interest.
Graphs and values were obtained using Affy; Residual analysis following the approach by Bolstad and colleagues [95] and implemented in the R package affyPLM [100].
The statistical assumptions for the regression analysis were verified using a residual analysis.
The filter cutoff frequency was determined using a residual analysis approach [32] over 0.5 25 Hz range in 0.5 Hz steps with vertical ground reaction force (GRF) signal from a randomly selected trial recorded for the first four participants; the average cutoff frequency was used.
Using graphical residual analysis, it was found that a linear model with a country-specific random intercept, but a common slope, fitted the data appropriately in terms of homoscedasticity and normal distribution.
To delve further into this analysis, we use the residuals information from the Chi-square, presented in Table 4.
