Sentence examples for microarray data corrected from inspiring English sources

Exact(1)

For differential gene expression analysis, normalized data of cerebellar samples from patients versus controls were analyzed by using the limma package from R and false discovery rate (FDR) control for statistical assessment of the microarray data (corrected P-values <0.05 were considered significant).

Similar(59)

Microarray data were corrected for backgrounds and normalized using gcRMA (R, 2.6.2; Biobase, 1.16.3; gcrma, 2.10.0).

The microarray data were corrected for background noise with the RMA algorithm and replicates were normalized using the quantile method.

Analysis of the microarray data, without correcting for multiple comparisons, revealed a number of genes expressed more highly in CVB3 infected males than in infected females (data not shown).

As our previous research has shown that distinct immune differences exist between infected males and infected females at 12 h pi in the spleen that relate to heart disease, we analysed the microarray data without correcting for multiple comparisons.

However, by analysing the microarray data without correcting for multiple comparisons we were able to identify by Partek and Ingenuity software and to verify by qRT-PCR and ELISA a number of other gene changes between sexes.

P-values of microarray data have been corrected for multiple testing by the Benjamini and Hochberg adjustment method.

The evaluation of the gene expression data was as follows: Microarray data were background corrected as described (Schmutz et al. 2010).

The raw microarray data was first corrected for background noise by background subtraction and then for system and technical noise by LOESS normalization.

As a first step, the scanned microarray data were background corrected and normalized using the gcRMA algorithm [ 31] resulting in log 2 gene expression values.

The microarray data were background corrected and normalized with RMA (Irizarry et al. 2003) and the resultant log2 transformed intensity values compared for each of the overexpression or deletion strains with their respective wild-type strains.

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