Sentence examples for inferring the stability from inspiring English sources

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We have here presented a robust and sensitive method for inferring the stability of G-quadruplexes from the sequence information.

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The minimum Gibbs's free energy, G, infers the stability of a particular structure.

Since this method is convergent, we infer the stability of this recursion.

The distribution of cells across these R values (with the distributions summing to 1) was used to infer the stability of the EGFP-fusion protein they expressed.

The present paper deals with the development of a spatial patterning model in conjunction with a series of experiments that use different starting conditions to infer the stability of the observed patterns.

To investigate this, we performed FRAP on endogenously expressed Ft-EGFP and Ds-EGFP in a fj mutant background, measuring fluorescence recovery to infer the stability of Ft Ds dimers.

We inferred the stability of the system on the basis of the value of the coefficient of direct density dependence (a1,1, a2,1 in Eq. (4) and α1 in Eq. (2)) in the regime where the equilibrium point lies [ 18, 29, 30].

It is thus essential to quantitatively infer the binding stability and specificity of such interaction based upon large-scale but low-accurate complex structure models which could be readily obtained from sophisticated molecular modeling procedure.

It is desirable to be able to infer the primary stability at the time of implant placement not only from the thickness of the cortical bone but also from the voxel values, if the cortical bone cannot be observed on the CT images of the extraction socket immediately after or at a certain period of time after the tooth extraction (until the maturation of the bone).

The user also gets an excel file containing the backbone RMSD values for K17I and L35P mutants, which can be downloaded and analyzed by the user in order to infer the overall stability of the mutants.

By iteratively updating the expectation in the E step and obtaining stable estimation in the M step, the EM algorithm improves the stability when inferring the probability-mixing model, and in general, mixture models.

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