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This method enabled identification and classification of AE signals belonging to two different failure modes.
Additionally, the method enabled identification of different expression levels of the receptor in NPY neurons (Fig. 4a c).
The third method enabled identification of virulence genes in a variety of species [ 76- 87], notably Listeria monocytogenes and M. tuberculosis.
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Immunoaffinity method enables identification of proteins including positive markers in EVs.
This method enables identification of performance bottlenecks to be addressed by the designer early in the design phase.
The method enables identification and selective detection of nanoceria among other metal oxides including Fe2O3, TiO2, Sb2O3, ZnO, SiO2, and Al2O3.
Our method enables identification of novel moonlighting proteins from current functional annotations in public databases.
This new method enables identification of metabolites from lead compounds with associated estimation of their individual bioaffinity.
This method enables identification of genes of interest and their regulators in rank order of their confidence level (Table 6).
Our method enables identification of novel moonlighting proteins from a current database, even when they are not explicitly annotated as such.
This method enables identification of a "partially directed graph" where some of the significant edges identified by GGM methods will have directions, which might imply causality, while other edges remain undirected.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com