Sentence examples for generating normalized from inspiring English sources

Exact(3)

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 band intensities of proteins were quantified using a densitometer (Fuji Film Corp ,Tokyo, Japan) and normalized by dividing the signal intensity at each time point by the control at 0 min, and then subtracting 1.0 from these values (Table S1), thus generating normalized data with no units.

We demonstrate that upon generating normalized gene expression estimates, PCA can be utilized to identify global gene expression sample outliers and that DNA and RNA genotypes can be employed to verify sample identity and check for sample contamination.

Similar(57)

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.

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