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Taking into account that each of these quantified proteins contains eight distinct cell-line measurements, this data set encompasses 174 704 quantitative ratios each measured in triplicate across the biological replicates.
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Our results showed that although information such as average pressure and pressure distribution on the filter surface is difficult to obtain by physical measurement, this data is tractable using CFD analysis and is useful for filter design and system optimization.
This result can be explained by the different quality of data measurements for this data set.
The model is fitted to the growth measurements and this data can be of a far coarser temporal resolution than the environmental data.
Results of turbidity measurements supported this data showing peaks of more than 500 nephelometric turbidity units NTU at the rainy season (Fuchs et al. 2015).
The relative of orientation of MA on the DNA in the complex was ascertained from residual dipolar coupling measurements, and this data, together with the chemical shift perturbation map, allowed us to generate a model of the complex.
More-specific details regarding the reliability of these measurements in this data set have been previously described [ 12].
We recognise that there is potential for risk of bias (stemming from substantial loss to follow-up for BMD measurements) within this data set.
After about 15 seconds of this measurement the data correlated better and eventually showed a very good correlation (less than 1% deviation).
In order to reduce technical bias of transcriptome measurements we restricted this data type to experiments that were performed on the Affymetrix GeneChip platform.
For example, if protein kinase activity measurements are available, this data could be used to obtain more accurate edge weights of specific protein interactions that represent activation.
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