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In the current configuration, in which cell-free DNA was isolated from 0.5 ml plasma and 4% of this was input per replicated ddPCR reactions (for four to six rearrangements per case), we estimate our method to be sensitive to detect one amplifiable target DNA molecule in 40 μl of plasma (approximately 25 targets per ml of plasma).
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We further estimated our method through comparing the predicted tissue specific microRNAs and the tissue specific microRNAs identified by biological experiments.
This also demonstrates that even though sometimes identifiability issues can occur and some parameters cannot be estimated, our method could still be very useful if one parameter can be estimated accurately.
Most importantly, the temporal extent of the interaction is difficult to estimate with our method because we train our models on the epitome of an interaction, which covers only a small part of it.
Figure 6 shows the support for recombination based on d̂SPR estimated by our method and the posterior probability of recombination estimated by DualBrothers program.
LAI estimated by TRAC was in good agreement with our results, but LAI estimated using the LAI-2000 was only half the value estimated using our method.
The graph of the ML poset estimated by our method is shown in Figure 5A.
Finally, urban crowd flux in Beijing, China were estimated using our method and the spatio-temporal characteristics of flux is analyzed.
Figure 4b shows the differences in depth distribution between tectonic tremors and intra-slab earthquakes, estimated by our method.
In "Evaluation" section, we describe the experiments conducted for evaluating the map consistency estimated by our method.
Moreover, the standard error estimates in our method is comparable to Zhou and Wangs method whereas the calculation time is much less compared to their method.
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