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The models developed using the PATENTS dataset were validated using fivefold CV as described in details elsewhere [48].
Recurrent somatic copy-number alterations in candidate regions identified by ENVE in the WES dataset were validated using a qBiomarker qPCR copy-number array as per the manufacturer's instructions (Qiagen Inc., Valencia, CA, USA).
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In the comparison, the DLBCL and Carcinoma datasets are validated using leave-one-out validation; and the remaining datasets are validated using three-fold cross validation.
Moreover, miRGate has been successfully applied to independent datasets providing predictions that were validated using different experimental techniques from diverse transcriptome profiling technologies (such as microarrays, RNA-Seq or miRNA-Seq).
The simulated results were validated using observational datasets (salinity and temperature) at satisfactory model skill scores (Murphy and Epstein [1989]) ranging from 0.5 to 0.8 (see Nakada et al. [2013a]).
Five, biologically distinct subgroups — Epi-A, Epi-B, Mes, Stem-A and Stem-B — exhibited significantly distinct clinicopathological characteristics, deregulated pathways and patient prognoses, and were validated using independent datasets.
The calibrated geochemical parameters were validated using an independent dataset.
The miRNAs associated with OS identified in our cohort were validated using an external dataset from The Cancer Genome Atlas (TCGA) project.
HR Hazard Ratio; CI Confidence Interval TNBC Triple Negative Breast Cancer Elevenn miRNAs that were significant for OS in the CO approach were validated using an external dataset (The Cancer Genome Atlas, TCGA).
Differences in imputation accuracies between purebred and crossbred animals were investigated to set up an optimal strategy for imputation from a low-density (8 K) to a medium-density (60 K) SNP chip in crossbred pigs and results were validated using a simulated dataset of crossbred medium-density (60 K) genotypes.
These sites were validated using a WGS dataset from the same individual to test for SNPs, since CpG dinucleotides mutate at a high rate due to the deamination of 5-methylcytosine to thymidine [ 53] and such SNPs could potentially bias the methylation results.
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