Sentence examples for binding probability of a from inspiring English sources

In our analysis, we primarily focused on estimating the binding probability of a TF to either the whole analyzed promoter or at single base pair resolution (using the Bayesian method).

TRAP avoids the artificial separation between binding sites and non-binding sites but instead computes the binding probability of a given TF to each site in the sequence.

We choose the TRAP approach since it avoids the artificial separation between binding sites and non-binding sites but instead calculates the binding probability of a given TF to all sites in the sequence based on a biophysical model.

In a computational model comparing spheres and nanorods, the binding probability of a nanorod under a shear rate of 8 s–1 was found to be 3 times higher than that of its spherical counterpart.

This result made it possible to use Eq. 24 to calculate the binding probability of a Ca2+ ion to a nearby mobile receptor, merely by setting the diffusion constant, D, to the sum of the diffusion constants of the two particles.

In particular,,,, are obtained by comparing the computed binding probabilities (of a sequence to have a binding site for a TF) with known binding site information from the test data set, that is, "0" (no binding site) and "1" (at least one binding site).

Tregear et al. concluded that the binding probability of cross-bridges to the target zone followed a Gaussian distribution that depended on the axial offset between target-zone center and the shelf of cross-bridge origin (Fig. 9A).

After learning the model parameters using positive lasso, we set β s ′ = β s / max s β s to be the binding probability of the TF to the k-mer s up to a scaling constant.

We then apply a logistic regression model to compute the binding probability of each probe being occupied by the target protein, using the binned supporting data as predictors and a list of known or highly probable binary binding sites of the protein as the response.

Such elevated CpG density may protect the regions from methylation and allows an open chromatin structure to increase binding probability of ubiquitous transcription factors (Deaton and Bird 2011).

According to our results, Alu coverage showed strong positive correlation with CI frequency (Fig. 2), highlighting that the enrichment of Alus in high CI frequency regions will leads to elevated GC contents and CpG sites that might function in maintaining an open chromatin structure to increase the binding probability of transcriptional factors (Fig. 3A D).