Sentence examples for transformation quality from inspiring English sources

The higher-level nature of them comparing to discrete edge line segments also makes possible the proposed feature matching process and transformation quality measure.

Through utilizing these entities as higher-level features for registration, more knowledge is gained to help with the feature matching and the design of transformation quality measure, which engenders a promising solution to the challenging cross-modality registration problem.

Gratifyingly, digital transcript expression values, expressed as aligned read frequencies, were amenable to very similar data transformation, quality control, pattern discovery, row-by-row modeling and annotation analyses as array hybridization datasets.

As shown in the Figure  2, processing and analysis of omics data involves a number of steps, from data acquisition and transformation, quality control (QC) (e.g. outlier detection, batch effect correction, etc)., preprocessing and normalization, and statistical analysis.

After quantile normalization and a log2 transformation, quality control of the data was performed with a Pearson correlation matrix and a principal component analysis on all probes to help determine possible outliers.

Less stress, more happiness and a transformation in quality of life that's easy to implement and for everyone – sounds like a revolution worth embracing, doesn't it?

Its dialectical side may be epitomized in three laws: (1) that of the transformation of quality into quantity, (2) that of the interpenetration of opposites, and (3) that of the negation of the negation.

Listening tests are used for evaluation of voice transformation and quality of synthetic speech.

Over the past decade, thanks to a combination of philanthropy, investment, and policy (including investments from Priscilla and Mark in enterprises such as AltSchool and Bridge Academies), we have seen a massive transformation in quality personalized learning for students worldwide.

Our data integration approach includes microarray data normalization, transformation, and quality control.

Data transformation and quality filtering were as in Morais et al. [ 9, 10].