Sentence examples for using a mean centering from inspiring English sources

These data were further substantiated by a principle component analysis (PCA), using a mean centering and scaling, which showed a similar correlation between expression profiles of the different organs, albeit an increased distance was observed between the gonads and brains (Fig. S4).

Principal components analysis clustering was performed using a mean centered and scaled algorithm (GeneSpring 7.3, Agilent Technologies).

Raw data were normalized considering the average Ct computed for each clustering phase, and then subjected to hierarchical clustering using a mean-centering data grouping miRNAs with a Ct value mean difference lower than 1.2.

Data were normalised using a mean-centering restricted (MCR) strategy as described by Wylie et al (2011).

Data were normalized using a mean-centering restricted (MCR) strategy as described by Wylie et al. [ 23], which uses miRNAs expressed in all samples for data normalization.

A lognormal prior with a mean centered on the reported Influenza A HA gene substitution rate [ 26] and tip dates were used to calibrate the clock.

PCA was carried out using mean centering and scaling on data from genes that were significant in at least one treatment group using Genespring GX 7.3.1 (Agilent Technologies).

Principal Component Analysis (PCA) was run on conditions ie for each lifecycle stage, using mean centering and scaling.

The cumulative distribution of MFE of known and background precursors, in miRDeep algorithm, are represented by Gumbel distribution functions, where F x) is the cumulative frequency of MFE less than or equal to variable x, and location is used for mean centering the distribution of MFE.

Method (I) is the mean centering of ratio spectra which depends on using the mean centered ratio spectra in four successive steps that eliminates the derivative steps and therefore the signal to noise ratio is improved.

Method (I) is the mean centering of ratio spectra spectrophotometric method (MCR) that depends on using the mean centered ratio spectra in two successive steps that eliminates the derivative steps and therefore the signal to noise ratio is enhanced.