Sentence examples for the prior assignment from inspiring English sources

The ligand preparation programs, like MarvinSketch (Marvin 6.1.6, 2014, http://www.chemaxon.com) or LigPrep (Schrödinger Release 2016-4: LigPrep, Schrödinger, LLC, New York, NY, 2016), show that N5 and N6 have the same pKa, and depending on the prior assignment of the bonding order, the protonation is made on either one or the other nitrogen.

This implies that the fast fluorescence transition results from a step before chemistry, while the slow fluorescence transition, analogous to the prior assignment for correct dNTP incorporation (26), likely originates from a step after chemistry.

For the smallest databases, the prior assignment based on the best match of the mass-to-charge ratio performs best, but as the database grows to more and more realistic sizes, the MetAssign algorithm becomes the best performing method.

The prior assignments are done in a way that allows for easy sampling, and the shapes of the prior distributions are chosen to reflect the assumed variability of parameters.

However, prior studies revealed that the cydAB genes were strongly upregulated upon exposure to hydrogen peroxide strengthens the confidence of the prior assignments about the role of cytochrome d oxidase in oxidative protection processes of both Gram positive and Gram negative bacteria [ 10, 13].

For additional information on this prior assignment, we refer to the work of Burgess and Yang [ 16].

To investigate further the relationship between chromosomal and molecular status, we applied Bayesian multilocus genetic clustering algorithms to karyotype data using the software STRUCTURE, without prior assignment of each karyotype to the observed molecular form population.

Conditionalization Given the prior probability assignment \(p(H\mid E \), the new, unconditional probability assignment to \(H\) upon learning \(E\) should be \(p'(H =p(H\mid E \).

The analyses were then repeated with prior assignment of karyotypes to molecular form to assess the probability of admixture of each individual.

The analyses were at first performed without prior assignment of individuals to molecular or chromosomal form to verify the degree of consistency in the classification of karyotypes by the three different approaches/markers.

The number of distinct genetic clusters in the dataset was inferred from cytogenetic data using a Bayesian clustering analysis as implemented in the software STRUCTURE v2.2 [ 67- 69], without prior assignment to population units.