Sentence examples for generates normalized from inspiring English sources

First, we present methods to process the CEL files to generate normalized expression data using APT and further processing in R. The 'apt-probeset-summarize' command reads in raw CEL files and generates normalized exon- or gene-level signal intensities, depending on the specified arguments [ 6].

Although normalization to the noise level or the median could be used to generate normalized images without artifacts, TIC normalization with the manual exclusion of the signals that caused the artifacts produced the best results.

Briefly, TMM (trimmed mean of M values) normalization was applied to generate normalized count data, and the lmFit command was used to fit a linear model to the data for each gene.

SUVmax of SR-positive tumor lesions (133/186) were normalized to the SUVmax of the liver to generate normalized SUV (SUVratio) values.

Tiling Analysis software (TAS) from Affymetrix technology was used to analyze tiling array data (cel files), which included the use of quantile normalization, probe analysis, and two-sample analysis to generate normalized log2 transformed values.

The abundance ratios of peptide pairs labeled with the heavy (9 ×  C) and light (0 ×  C) ICATTM reagents were normalized to the median of all peptide ratios in order to generate normalized expression ratios.

In order to generate normalized gene lists, we explored two approaches.

The individual CBF maps (e) was coregistered by the T1 tissue probability maps, which would generate normalized CBF maps (f).

SVE can be described in the following way: the ratio of the largest SV of the generated normalized matrix over a normalized image.

We then generated features for each of the N TR probes and galleries separately for each modality, for example, by generating normalized silhouette sequences for each N TR probe and for the first frame-skipped image sequences for the galleries.

The structural images were segmented using DARTEL methods and the generated normalized T1 tissue probability maps were used to coregister the cerebral blood flow (CBF) images, which would further be performed with standardization using Fisher Z Transformation.