Sentence examples for transforms the number from inspiring English sources

Exact(3)

Ms. Bergen transforms the number from the usual defiant anthem into something darker, suggesting the toll exacted by survival.

Clearly, λ transforms the number of chosen features into equivalent classification error in (14), and controls the balance between them.

This normalization transforms the number of matching residues for each peptide j to a uniform range; i.e. a S I M j k value of 1 represent a patch k with the maximum number of matching residues for a given peptide j, and a S I M j k value of 0 represent a patch k with the minimum number of matches.

Similar(57)

Section  3 reverts them to z-scores again and transforms the numbers into normal percentages, i.e. we calculate the area under the normal density to the left of the z-score.

Firstly, we obtained publicly available ChIP-seq data for chromatin modifications, including histone modification, a histone variant H2A.Z and two transcription factor (CTCF and PolII) in human CD4+ T cells [27], [28], and transformed the number of tags for each data to putative chromatin domains by MACS from Zhang et al. [35].

After distance transform, the number on each pixel indicates the square of the smallest distance from the pixel to the thick curve.

In order to obtain a multivariate normal distribution, we log-transformed the number of cells and immunoglobulins before testing associations with possible predictors by multiple linear regression models.

PCA involved a mathematical procedure that transformed the number of possibly correlated variables into a smaller number of orthogonal variables, called the principal components (PCs), with the minimum loss of original information.

In contrast, phrase-level frequency was obtained by log10-transforming the number of times each noun noun combination occurred in a Google-derived count of the contents of the World Wide Web as of 2006 (Brants & Franz, 2006).

Between-group differences in the use of task-specific schemas were estimated by transforming the number of statements per coding category per rater to percentages in order to correct for between-subject variance in verbosity and elaboration of answers.

To do this, we first transformed the number of oligomers calculated from the analysis explained above into protein mass using an average size for each oligomer class: 4-mer for 2 5 mers, 10-mer for 5 15 mers, and 30-mer for 15 150 mer (corresponding to the approximate size at which half of the total oligomers of that class is smaller and half bigger).

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