Sentence examples for processing of missing from inspiring English sources

The FLOC algorithm [ 10] improved the method presented in [ 9] by obtaining a set of biclusters simultaneously and by incorporating the processing of missing values.

It is also possible that the polyadenylated H2B transcripts are not translated, and are instead the result of aberrant histone 3′ end processing as a result of missing cell-cycle-dependent histone mRNA processing proteins [ 39, 46, 47], and that most histone production in non-cycling cells comes from some basal histone transcription that occurs throughout the cell cycle.

Figure 3 (a) Error performance; (b) processing time versus percentage of missing pairwise distances (where the larger distances are made missing) using ideally measured distances.

Figure 17 (a) Error performance; (b) processing time versus percentage of missing pairwise distances with standard-deviation adjusted weighting and random missing distances.

Figure 14 (a) Error performance; (b) processing time versus percentage of missing pairwise distances with uniform weighting and largest distances missing.

Figure 15 (a) Error performance; (b) processing time versus percentage of missing pairwise distances with uniform weighting and random missing distances.

Figure 5 (a) Error performance; (b) processing time versus percentage of missing pairwise distances using ideal distances, where the missing distances are randomly selected.

Figure 4 (a) Error performance; (b) processing time versus percentage of missing pairwise distances using distances with added 0 mean and 5 m standard deviation Gaussian noise.

The results are shown in Figures 16 and 17. Figure 16 (a) Error performance; (b) processing time versus percentage of missing pairwise distances with standard-deviation adjusted weighting and largest distances missing.

The patients in general prefer touch screen and further advantages are less need for staff assistance, no errors related to processing of paper versions, and elimination of missing and/or incomplete data.

Data preparation: Data processing should be reported, including the assessment of multivariate normality, analysis of missing data, method to address missing data, and data transformations.