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Results obtained for the smaller dataset were generated in 4-cross-validation process.
Normalization of imputed dataset: imputed dataset was normalized using quantile normalization in R (Bolstad et al., 2003 ) and logged to base 2. Array outlier detection: dissimilarity matrices of the normalized dataset were generated in AVADIS-Pride (Gwadry et al., 2005 ) to determine outlier arrays within the dataset.
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The dataset was generated in such a way that only two predictors were related to the response.
A second dataset was generated in Heidelberg to provide some estimates on absolute genome sizes.
This dataset was generated in the Cancer Genome Project at the Wellcome Trust Sanger Institute and will be referred to as the 'Sanger set'.
The MCAO dataset was generated in our laboratory and probed gene expression in the cortex of the ischemic hemisphere at four time-points (6, 12, 24, 48 h) following a 90 minutes occlusion of the right middle-cerebral artery in adult anesthetized rats, and included sham-operated animals as controls.
Array datasets were generated in duplicate for liver and kidney of all control and treated animals.
Rarefaction curves of various datasets were generated in MOTHUR using a re-sampling without replacement approach.
Two different datasets were generated: in order to analyze the position of the clades within Musaceae with respect to other phylogenetic groups of Zingiberales, dataset 1 comprised ITS1-ITS2 concatenated regions of all diploid Musaceae accessions as well as the known ITS1-ITS2 sequences of closely related families Strelitziaceae, Lowiaceae, Heliconiaceae and Costaceae [75], [76] (Table S4).
All datasets were generated in 100 duplications.
No datasets were generated in this study.
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