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The spatiotemporal modules identified by our method suggest the presence of multiple biological processes, acting at distinct time scales in both the Arabidopsis root and yeast.
Regardless, the numerous spatiotemporal modules identified by our method suggest the presence of multiple biological processes, acting at distinct time scales in both the Arabidopsis root and yeast.
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A closer look at the heterogeneity modeled by our method suggests two possible conformational states for R13.
While randomisation methods are often limited in their ability to handle missing data, the scope of data collection required by our method suggests that handling missing data and understanding how it impacts the allocations are important practical considerations.
Because the gene expression data we used were generated during the yeast sporulation whereas sporulation and normal cell growth are two mutually exclusive developmental processes, interactions of these proteins with MAPK pathways identified by our method may suggest how MAPK pathways and proteins involved in the control of cell cycle act in concert.
To the extent that gene expression reflects genetic and epigenetic variation, the subtypes identified by our method may further suggest different approaches to identifying genetic susceptibility.
The ease of monomer and polymer synthesis combined with the control over molecular weight and dispersity provided by the method suggest that a range of LC materials can be prepared using our approach.
Estimates by this method suggest that the hybrid species may be older than previously suggested.
The fact that candidate genes identified by our method have already been suggested as potential drug targets shows that GeneFriends can be useful for the identification of candidate targets for cancer studies.
Such non-random, or coordinated movements are further supported by our bootstrapping methods suggesting that bats had similar compass bearings more often than by chance.
Finally, we validate a previously unknown connection between malignant pleural mesothelioma and SIM2s suggested by our method, via real-time polymerase chain reaction in an independent set of mesothelioma samples.
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