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The authors in [5] acknowledge that their method is suboptimal, and that better methods can likely be found, but to date, we are unaware of any results in the literature examining exactly how suboptimal the existing method is.
Similar methods can likely be applied to high‐throughput technologies such as microarray, proteome, and metabolome data to identify other important systems (e.g., Hoffman et al., 2014).
In addition, detection of aberrant p53 protein (along with proteins in the p53 pathway) using antibody-mediated methods can likely be made more sensitive and specific for detecting clinically important endpoints.
We have shown that detection can occur in complex matrices such as reticulocyte lysate or fetal bovine serum; therefore, our methods can likely be modified to work in various cell lysates.
Similar(56)
In 1988, Tippie researchers created the Iowa Electronic Markets (IEM), a system by which people could buy and sell shares in U.S. presidential candidates, producing a more precise result than any pre-election polling data, demonstrating that this method can likely be applied to a wide range of industries.
Modern inference methods can reconstruct likely evolutionary histories using genome sequence data alone.
Our methods can also likely be adapted to screen antibodies, for which the HA tag and the anti-HA antibody can be switched with the Fc region of antibodies and immunoreagents against the Fc region.
Hence, this method can be likely to provide better details to the human observer.
Some input methods can prioritize the most likely character according to the context, but they are not always accurate.
Kinetic data and thermodynamic property methods can be the most likely source of errors.
Using these methods, whole genome transcription profiles can likely be generated for Ap, as well as other obligate intracellular organisms, in any host cells and for all stages of the cell infection process.
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CEO of Professional Science Editing for Scientists @ prosciediting.com