Your English writing platform
Discover LudwigExact(1)
In the TF target gene prediction analysis, the raw DNA duplex destabilization energies were converted into probability values using a Bayesian transformation method, and each TF's binding preference is predicted with a heuristic method (see Section 2 for details).
Similar(59)
In addition, medication preference was predicted by male gender and diagnosis of major depression (vs dysthymia).
Subjects' treatment preferences were predicted from covariates using both classification trees and logistic regression.
The final binding preference of each TF is made by taking a vote among these six binding preferences, and again in case of a tie random binding preference is assigned.
Receptor binding preference is a major factor in determining host species tropism.
A smaller value than θ results in a "no-binding" prediction, otherwise "binding" is predicted.
In addition, although the ability to predict their DNA binding preferences is far from perfect, more is known about ZNF DNA recognition than for any other class of human transcription factors.
In order to avoid the possible bias that could be introduced when the binding preference of each TF is predicted from the same data that is used for validation, we also performed the standard leave-one-out cross validation on the binding preference prediction.
It is seen from Table 3 that, for the six TFs whose binding preferences are known, our predicted binding preferences accord well with the literature-derived information.
These analyses show that predicted receptor binding preferences are highly correlated with the host specificities of natural influenza A viruses.
The main advantage to this approach is that we were able to predict the structural mechanisms by which binding preferences were altered.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com