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Including these gene modifications, our model predicted an increment of ethanol production of 5%, no glycerol production and consumption of acetate instead of production.
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We did not find significant DNA methylation modifications in our model (Table 2).
As the epigenetic landscape shows dynamic change during differentiation and reprogramming, we considered not only the gene expression but also epigenetic modifications in our model to study the basic principles in reprogramming, which may serve as an important medium for gene expression change in reprogramming.
We have omitted the detailed mathematical derivations here as they are outside the scope of this paper; however, we have included a derivation of the equations below in the Appendix for those readers that may be interested in further development or modifications to our model.
Moreover, this marker has been also related to epigenetic modifications in H3K4 histone [ 36], thereby supporting our hypothesis of this type of modification in our model.
A modification of our model with migration from the start does not change the results qualitatively as long as migration is below the critical migration rate.
Saturated and unsaturated fatty acids with carbon numbers of 13, 15, and 17 were subjects for modification of our model.
We continue with a mathematical modification to our model from 2011 and compare its predicted results to those of our previous model.
We made several modifications to simplify our model after completion of our research on the Rotterdam cohort but before it was applied to the ERSPC Tarn data.
There are two types of modifications in the neural dynamical system in our model: modification through learning (i.e., change in the synapse strength) and that by the injection of the input (i.e., change in the input strength).
Our model modifications are consistent with other models that include negative feedback reactions [10], [11], [13].
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