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Peak intensity data generated using this dataset were assessed using histograms and dot plots to determine a cut-off and the results for each sample scored as high or low (above or below the cut-off).
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Rate heterogeneity within the dataset was assessed using the likelihood-ratio test (LRT) [ 74, 75].
The quality of the genotypic dataset was assessed using M ICRO-C HECKER[ 38].
Initially, the variable dataset was assessed using the Shapiro-Wilk test.
For each validated strain (Table 1), sequence similarity to all sequences in E2 protein dataset was assessed using BLAST [ 27] search.
The performance of NEWHYBRIDS to detect purebred and hybrid individuals with the present microsatellite dataset was assessed using simulated data generated by HYBRIDLAB [ 25].
The temporal signal of the dataset was assessed using Path-O-Gen, which showed an r-squared value of 0.53 with the best-fitting root (date range 29 years) [ 23].
Statistical significance for gene expression and probe methylation from cell line and TCGA datasets were assessed using the Mann-Whitney test with Bonferroni correction across groups.
The biological functionality of genes in the two datasets was assessed using Gene Ontology [ 32] classifications.
Associations between PrCa risk and the imputed dataset of 1094 SNPs were assessed using a 1 df trend test adjusted for study and six principal components to correct for inflation (10).
The BioGrid interaction dataset and a randomized version of this dataset (both containing 46 676 interactions) were assessed using iELM (cut-off = −1.0) with the domain identifier HMMs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com