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The MSL campaign NSA and ATP datasets were compared side-by-side to correlate the samples using the sampling date and hardware location.
DLnA350 and DSlope325 375 datasets were compared with the amount of DOM-bound Cu II), Cd II), and Al III) estimated based on NICA-Donnan model calculations.
The multiple datasets were compared through visual inspection of both global and local areas, and the effectiveness of each system for dealing with this type of object was subjectively assessed.
These datasets were compared with the Tetrahymena pyriformis dataset and 204 (136 from the PN model and 68 from the NPN models) training chemicals were present in the TPT dataset.
The majority of the analysis was carried out using the clustered datasets and lipid-free metabolite dataset, except for preliminary analysis, where these randomly selected molecules were used and in the case of Ro5 test, where both datasets were compared.
Calculated root reinforcement using measured and modelled root distribution of the PN datasets were compared in order to analyse the effect of the interaction between neighbouring root systems on the distribution of root reinforcement.
Then two datasets were compared by the same two authors independently.
Genes underexpressed in MM datasets were compared to literature defined concepts in Oncomine, using the built in t-statistics.
The one-tail hypergeometric probabilities for each diagnosis were then recalculated and the two bootstrapped datasets were compared.
Drug-naïve and NRTI-treated datasets were compared for intra- and inter-group conservation, and differences were determined using Fisher's exact tests.
This result was consistent when the datasets were compared between time points, with ∼50% of mid-bloom transcripts being homologous with ∼90% of post-bloom transcripts (Table S3).
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