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Previous genetic studies that correlate with these predictions are noted (Table 2).
All incomplete predictions are noted in additional files 1, 2, 3 and 4. Having collected 711 genes from 46 genomes, I used clustalw2 at EBI [ 58, 59] to compare subsets of amino acid sequences, in order to examine their relationships of similarity overall.
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Moreover, an assessment of changes in the fiber surface chemical and nanomechanical properties is provided and a strong correlation between the tensile strength, roughness and Griffith fracture predictions is noted.
Variations in N-termini start sites were noted, both between JGI and VIMSS datasets and between initial and later annotation runs (approximately 200 N-termini differences between four runs of orf predictions were noted for the initial two annotation runs, Joint Genome Institute's, done at Oak Ridge National Laboratories – ORNL, and VIMSS).
In general, model predictions were in good agreement with the experiments however some deviations in the model prediction were noted at the transition stage specifically for the water-glycerol system which was attributed to the liquid phase diffusional resistance not accounted in the present modelling framework.
A kriging prediction, z* u α, t α) is then made at this point and the error between datum and prediction is noted.
This same discrepancy in the model prediction was noted in the original analysis of this data by Schnider et. al.[ 20] using a NONMEM compartmental model.
Where there were disagreements about the prediction, this was noted and the prediction made by the majority was used in analysis.
In addition to the prediction errors, the average computation time for the prediction step is noted for comparison of LUT, PLS and LS-SVM schemes.
This GI prediction method is noted for having more sensitivity/recall in predicting GIs versus other methods studied in an evaluation of GI predictors [18].
Although there was insufficient data to develop a scoring system for mortality prediction, it was noted in this review that serum markers of acute inflammation (tumour necrosis factor-α, interleukin-1, interleukin-6) have not been adequately assessed as prognostic markers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com