Sentence examples for using the limma linear from inspiring English sources

Quality control and differential analysis of summary data was performed using the limma (linear models for microarray data) bioconductor package.

Differential expression analyses were conducted using the LIMMA (Linear Models for Microarray Analysis) package from the Bioconductor project [12].

Paired t-tests between patients (n = 6) and controls (n = 6) were performed using the Limma (linear models for microarray data) package to identify differential expression [3].

Standard deviations of the logarithm of fold change values were also estimated using the limma (Linear Models for Microarray Analysis) package [41].

Differential expression of transcripts between human psoriatic skin samples and control skin samples was evaluated using the Limma linear modeling package [57], with P-value adjustment using the Benjamini-Hochberg method [58].

Differential expression analysis was carried out using the Limma linear modeling package available in the R Bioconductor software suite [ 76].

Two tests of differential expression were conducted simultaneously: the first test fit a linear model for the expression data for each gene by using the Limma Package (Linear Models for Microarray Data) [ 17], the second test SAM used repeated permutations of the data to determine significant genes [ 18].

Raw data from Genepix was imported into R (1.9) [ 47] and analysed using the LIMMA library (Linear Models for Microarray Data version 1.7, [ 48]).

AffylmGUI allows a graphical user interface for the analysis of Affymetrix microarray GeneChips using the LIMMA package (linear modes for microarray data) in R (Smyth 2005).

Differentially expressed genes between control and each of treatment groups per time point, as well as between each of time points and day 0, were identified using the limma package, applying linear models and moderated t-statistics that implement empirical Bayes regularization of standard errors [27].

Gene expression ratios were calculated using the limma package by fitting a linear model on each gene (Smyth, 2005).