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This is an excerpt from Campaign Stops, a blog at campaignstops.blogs.nytimes.com, where readers can view a chart illustrating the data described here.
The data described here were collected from April through August 2014.
The data described here is available in NCBI's Gene Expression Omnibus (GEO), accession GSE64375.
The data described here suggest that MIMP could be used to overcome some of these limitations.
The data described here form an a solid foundation for the structurally aided design of novel low-molecular-weight GCPII inhibitors and imaging agents.
Taken together, the data described here may be useful in gaining insight towards the design of selective MAO-B inhibitory compounds devoid of MAO-A activity.
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As such, the data describe here were somewhat surprising.
The model fitted to the trial data described here is based on the following power function, y t = a t b (1 where y t is the response, t is time after commencement of measurement, and a and b are empirically derived parameters.
This was not the case with the transcriptomic data described here.
Principal component analysis (PCA) was performed on the transcriptome data described here, and the results are shown in Figure 1.
While the role of Rad51 filaments in T2 is unknown, the genetic data described here, and previously support the following speculative model (Table 1, Figures 1 4)[36], [49], [49].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com