Sentence examples for using the median normalization from inspiring English sources

cDNA data were normalized using the median normalization method and Affymetrix.CEL file data were processed using the Robust Multi-Array Average (RMA) algorithm [31].

Expressed data were normalized using the Median normalization.

Differential gene expression was performed at the level of genes with the EBSeq package [ 94] (version 1.0) using the median normalization approach and 10 iterations of the algorithm used by EBSeq.

As with the simulated data, these spectral data were mean-centered and scaled to unit variance before normalization using the median PQN method.

Bioconductor DESeq package version 1.10.1 [ 38] was utilized for normalization, using the median log deviation, and for the differential expression analysis, applying a two-fold change cut-off, i.e. log2-fold change ≥ 1 or ≤ −1 and an adjusted p-value ≤ 0.05 were used as thresholds.

We performed direct normalization with control probes as normalization factor, using the median of all imported samples, and two standard deviations.

The simulated spectral data were mean centered and scaled to unit variance prior to normalization by the probabilistic quotient normalization (PQN) method using the median spectrum from the whole data set as a reference.

Batch normalization was performed using the median ratio for each metabolite in duplicate "anchor" samples across runs.

Expression data were median-centered by using the global median normalization of the BIOCONDUCTOR package (http://www.bioconductor.org).

We propose the use of the median normalization as an additional tool to spot artifacts.

The IMM use the median fold-changes as the normalization scaling factor is a robust method.