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Using long-term datasets we quantified the contribution of two puma populations to operationally define them as sources or sinks.
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In a separate analysis of the dataset, we quantified the mean number of nectaries produced per basal leaflet and we considered missing leaflets as missing data.
In the lung adenocarcinoma dataset, we quantified concordance in two different ways.
In this dataset we quantified 28 known client kinases of which 25 showed the expected upregulation of their protein levels after MG132 addition, validating our approach to identify Hsp90 kinase clients.
We quantified the impact of the three deforestation datasets on the REL establishment.
Finally, we quantify the relative prediction performance of existing efforts in the field across different types of datasets, identifying those with higher prediction performance across different datasets.
Using new statistical methods and comparable whole genome datasets we have quantified, for the first time, the variation in HCV evolutionary dynamics at different scales of organisation.
Using gene and microRNA expression datasets from TCGA, we successfully quantified the optimal conditions for ceRNA regulation, which hinge on four essential parameters of ceRNAs.
We then quantified the rate of non-unique profiles per simulated dataset.
In Fig. 5 we used these two datasets to quantify the decay of the average interaction overlap as a function of amino-acid sequence similarly (see Fig. 3A for the same analysis in yeast).
In addition to calculating S and AN for each empirical and simulated dataset, we also quantified overall polymorphism via the number of different genotypes (GN), and observed heterozygosity (HO).
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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