Sentence examples for binding preference prediction and from inspiring English sources

We have used cross-validation and an additional base pair shifting simulations to show that binding preference prediction and parameter optimization do not result in any (optimistic) bias, or overfitting, in binding prediction accuracy.

We shifted each additional data source by 100 base pair positions and then applied our computational methods as explained above, including binding preference prediction and optimization of parameters, to test performance of randomized data.

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.

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).

A DnaK binding preference for L and negative bias for acidic residues is reported (18).

(1) Which feature has the greatest power for describing binding preference between TFs and TFBSs?

The binding preferences of hHAsα2,6 and hHAsα2,6* (hSHand,6* and hLHAα2,6*) toward horse and swine erythrocytes were investigated.

As expected, compound 1 displays a minimal activation state binding preference for Lyn, Fyn1, and Fyn2.

(c) and (f) Binding preference of Gd@C82(OH)22 toward WW domain and PRM.

(b) and (e) Binding preference for PRM toward WW domain and Gd@C82(OH)22.

(a) and (d) Binding preference for WW domain toward PRM and Gd@C82(OH)22.