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Our method, currently, requires a fixed length of upstream and downstream sequences for the training and testing data.
Note that the method currently requires that the compared trajectories have the same number of evolutionary levels (i.e. in our case the same number of species).
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Many of these promising methods currently require acquisition parameters that can be quite demanding; more specifically, the spatial resolution, temporal resolution, and signal-to-noise requirements can be challenging to satisfy in the clinical setting.
Nevertheless, a more accurate docking method is currently required.
Further work on the ILI method is currently required to improve and refine this promising technique for treatment of limb melanoma.
It was possible to generate results from as low as 20,000 cells per IP, but at a cost to sensitivity, where only 70% of known peaks could be detected, so we declare the limit of this method to currently require 100,000 cells per IP.
However, the multiplexing method currently used requires precise handiwork and many complicated steps, making a new, simpler technique desirable.
A further limitation of the method is the laborious pre-processing that it currently requires.
The large number of different methods and specimen types currently required to generate three-dimensional allowables for structural design slows down the material characterization.
Global proteomic approaches to analyze GPCR expression are still not within reach, currently requiring methods such as selectively tagging (e.g., by biotinylation) cell surface proteins, various chromatography techniques including immobilized-metal affinity chromatography (IMAC), or the isotope-coded affinity tag (ICAT) method prior to protein analysis by mass spectrometry [344].
Nanomedicine research is currently requiring new standard methods to quantify the biocompatibility and bioadhesivity of emerging biomaterials designed to be used in contact with blood or soft tissues.
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