Your English writing platform
Discover LudwigSuggestions(2)
Exact(3)
The resulting dataset was investigated using maximum parsimony (hereafter MP) and Bayesian phylogenetic inference methods [ 44].
Just as the mtDNA data, the AFLP dataset was investigated using MP and Bayesian phylogenetic inference methods.
The presence of a clock-like signal in this dataset was investigated using Path-O-Gen [ 21], which roots the maximum-likelihood tree at the position that is most compatible with the assumption of the presence of a molecular clock.
Similar(57)
Phylogenetic hypotheses of the sister taxon of Stygiocaris in the Combined 16S/H3 dataset were investigated using the Shimodaira–Hasegawa (S H) test in PAUP (1000 replicates of resampling of estimated log-likelihood test distribution) and Bayes Factors [63] in MrBayes (constrained versus unconstrained harmonic means of likelihood values [64]).
Concordance of the agroecozones with other widely used datasets was investigated using MapCurves, a quantitative goodness-of-fit method.
The efficiency in using the transformed dataset to perform normal/tumor classification was investigated using feature partitioning with informative features (gene annotation) as discriminating axes (single gene expression or pair-wise gene expression ratio).
The phylogenetic relationship between heterokonts, cryptophytes and haptophytes (collectively referred to as chromists) plastids was investigated using several datasets of concatenated proteins from two cyanobacterial genomes and 18 plastid genomes, including most of the available red algal and chromist plastid genomes.
The impact of missing values in covariates was investigated using multiple imputed datasets, generated using chained equations (with 10 cycles of regression switching).
The effect of sample size and of size factors on the accuracy was investigated using the three simulated datasets.
Gene expression in BCa tumors was investigated using a cohort of 557 patients compiled from publicly available datasets.
Non-linearity was investigated using quadratic terms.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com