Sentence examples for optimize a score from inspiring English sources

Rigid alignment methods try to optimize a score that is usually dependent on the length and rmsd of the alignment.

Therefore, our goal is to optimize a score that rewards long alignments with small rmsd, and penalizes the introduction of hinges and gaps.

Given two RNA sequences A and B (of respective sizes n and m), Sankoff's problem of simultaneous alignment and folding (Sankoff, 1985) asks for an alignment and RNA structures S and T for both sequences that simultaneously optimize a score of the form 'energy of S  + energy of T  + sequence edit distance' in a loop-based energy model (Mathews et al., 1999).

Once the initial placement is complete, the layout is shown to the user, and a background thread iteratively adjusts individual nodes to optimize a scoring term that encourages closeness tethered atoms vs. repulsion of non-tethered atoms.

DALI optimizes a score that incorporates the length and rmsd of the alignment.

Otherwise PMcomp, like the original Sankoff algorithm, optimizes a score composed of the sequence similarity and energies.

To address the limitations of current approaches in detecting rare and secondary aberrations, we were motivated to develop a new approach that identifies both recurrent and independent SCNAs by optimizing a score that considers the composition and the correlation between all SCNAs on a chromosome across a set of samples.

The SMM-BP method optimizes a scoring matrix such that the squared differences between measured and predicted binding affinity values are minimized, which corresponds to maximizing the likelihood of observing these measurements giving the prediction matrix and assuming a normal distribution of differences between predicted and measured values.

Low-resolution data and atomic subunits are combined by a registration procedure that optimizes a scoring function (Wriggers and Chacón, 2001).

The latter can be overcome if, instead of the log-likelihood, one optimizes a scoring function of the form l(G| D n) − λ ndf (G) [ 13], where λ n is a penalization parameter indexed by the sample size n.

A database of 282 patients is used to optimize a new score for abdominal septic shock patients.