Sentence examples for data limma package from inspiring English sources

Identification of significant differentially expressed genes was determined using the Linear Model for Microarray Data (Limma) package in Bioconductor [19].

Affymetrix data were normalized using the RMA method and the linear model for microarray data (LIMMA) package was used to assess statistical significance between groups.

The microarray data were extracted with Bead Studio 3.6 (Illumina, CA, USA) and normalized using the quantile normalization method in the Linear Models for Microarray Data (LIMMA) package in R language environment [15].

Differential gene expression between the groups in the initial data set and the replication data set was determined with the linear models for microarray data (limma) package and P-values were calculated with a modified t-test in conjunction with an empirical Bayes method to moderate the standard errors of the estimated log-fold changes [28].

Differentially expressed genes were identified using the Linear Models for Microarray Data (LIMMA) package.

The linear models for microarray data (LIMMA) package in Bioconductor was used to identify differential gene expression [ 48, 49].

A linear model was applied to the normalized data using Limma package in R/Bioconductor [ 13].

For processing of the RNA microarray data, the limma package for the R software environment was used.

Subsequently, a linear model was applied to normalize this data, using Limma package from R/Bioconductor to guarantee maximal statistical stringency [ 17].

For the statistical analysis and normalization of the expression data, the LIMMA package for the R programming environment was used [ 51]. Background correction was performed by using the 'normexp' method [ 52].

We processed and analyzed Genepix data using the limma package [ 34] for the R statistical programming environment, as follows.