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By the original methods, if you were to create a hologram of a glass of water and zoom in on it with a powerful microscope, you could see the microbes that existed in that glass of water.
Nevertheless, the downside of averaging is always that some pearls discovered by the original methods can be lost when only considering the average, i.e. MD.
We considered it convenient to compare the accuracy of the positive predictions made by the original methods and the AODE-based classifier (APPIA), since each method has different applicability and is potentially able to detect different type of interactions.
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MD not only performed best in terms of per-residue and per-protein accuracy/coverage, but it also identified unique regions that had been missed by ALL the original methods that we analyzed, i.e. it somehow intruded into the untapped region of sequence space.
In effect, the equivalent curve constructed by the original method suggested from the Osterberg test showed a much stiffer curve compared to the top down curve.
The oxygen reduction mechanism on a smooth gold electrode in the Li2CO3/K2CO3 eutectic mixture has been examined by the original method of reversible potential-step chronamperometry with the change-over from the steady-state conditions.
However, it must not be forgotten that the results produced by the original method represent the best in 100 runs, since the random start of the Transitive heuristic produces a different solution for each run, while the proposed method reaches good quality results, stable, and reproducible.
In this respect, Figure14 displays the performance measurements obtained by the original method based on the ℓ1-criterion of Equation (4) (L1 Minimization) in comparison to the modified ℓ1-criterion of Equation (14) applied to the outcome of the the multisource selection when the noise standard deviation is estimated by the DATE (Modified L1 minimization).
Only true predicted contacts that were not predicted by the original method are highlighted.
One possible reason is overestimation of mES expression levels by the original method (Li et al., 2011), which is normalization by putative stably expressed endogenous features.
Most tests conducted in this study made use of MHC monomers refolded by the original method of Altman et al. (1) or generated by UV-induced exchange of a conditional ligand (33) that were produced and multimerized in-house.
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