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The interestingly improved corrosion rates during in vitro corrosion tests are often not replicated in the in vivo tests.
And a lot of them are based on a few specific genes, which have been implicated in LOADS of different traits by candidate gene studies, which are often not replicated (and not for want of trying either).
Furthermore, these modifiers are often not replicated in different populations, and replicated modifiers account for only a small fraction of the heritable variation [ 15, 58- 60].
Results from non-randomised studies are often not replicated in randomised controlled trials, where the considerable potential for bias is markedly reduced, and this study might be another example.
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Candidate gene association studies were often negative and positive results were often not replicated or replication failed.
Replicates at time points are often not available in sufficient numbers due to the difficulties in obtaining biological samples.
Images are often not online.
Positive results have been rare and often not replicated in subsequent studies.
However, most of the available pyrosequencing studies do not allow a statistical assessment of land use and management effects on soil bacterial communities, as analyses of replicates were often not performed.
Furthermore, in practice, generating this many experimental replicates is often not feasible.
As it is often not cost-effective to generate replicate sequencing lanes for each sample to assess experimental reproducibility empirically, addressing this issue computationally is desirable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com