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A parsimony analysis of the combined morphological and the complete molecular data sets (hereafter referred to as the "combined complete data set") produced a well-resolved and strongly supported single optimal cladogram (L = 6358, CI = 56, RI = 86; Figure 10).
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The numbers of cases and their standard deviations were calculated according to the rules for combining complete-data inferences [ 26].
Of the datasets used in the DRIMM study, only the yeasts combined complete results from the authors and public availability of the genomic data.
The combined and complete data matrix of three single copy nuclear genes (At2 g32520, At2 g13360, and At5 g23290) yielded a single most-parsimonious tree with strong bootstrap support that is consistent with published phylogenies using more taxa and other molecular markers in the Brassicaceae [ 77- 79].
After combining, the complete data set was screened to remove 1461 markers with significant segregation distortion (chi-square P < 10−10).
A combined and complete data-matrix containing genes At2 g32520, At2 g13360, and At5 g23290 homologs for each of the twelve taxa yielded a single most-parsimonious tree with the exact predicted and previously supported topology [ 77- 79] but with increased bootstrap support at deeper nodes than previously published phylogenies.
By combining completed genomes currently available and culture-independent sequencing data, we built a model to estimate the number of genes in human gut bacterial community.
Once all missing values have been multiply-imputed, the datasets can then be analysed using standard techniques for complete data and combined using standard rules.
After data linkage was complete, data were combined to form a comprehensive database for analysis, and all personal identifying information needed for linkage of the registries were deleted from the source records.
Of the 666 patients included in this combined dataset, 550 (83%) had complete data on relapse-free survival (RFS, defined as the time to first relapse [local or distant]) and clinical variables (tumor size, histological grade, and estrogen receptor [ER]), and were included for further analyses using a 7-year cut-point for RFS.
For all samples, the regression model fit for the combined data completed with convergence (Message 1), and generated valid parameters for analysis.
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