Sentence examples for selection identifying from inspiring English sources

Exact(6)

In feature selection, identifying significant interactions among features is a challenging task.

In one recent example from our pages, Bernhard Palsson and colleagues conducted whole-genome resequencing of E. coli strains undergoing selection, identifying mutations that became fixed during gradual adaptation (Nat. Genet. 38, 1406 1412; 2006).

balancing) selection, identifying outliers on the observed PPP-value distribution makes it impossible, in practice, to control for False Discovery Rate (FDR) or False Negative Rate.

Aiming at informing clinical interventions or vaccine design, methods for variable selection identifying those variables with the optimal prediction performance for a specific outcome are crucial.

POTION misclassified two cases of exclusively purifying selection, identifying evidence of positive selection in two of the 17 groups where previous expert analyses suggests no occurrence of positive selection.

The exclusion of these patients resulted in stepwise covariate model selection identifying hemoglobin and body temperature to be associated with the population mean CL, in addition to the association between sex and population mean V.

Similar(54)

Codon sites under positive selection were identified using the Bayes empirical Bayes (BEB) calculation of posterior probability for site classes [ 58] that analyses the sites under positive selection identified by the selective models.

It is also of interest whether automated feature selection identifies the same residues, and whether automatically selected features perform better than those selected using evidence from laboratory studies.

Darwinian natural selection identified a mechanism and – once genes had been discovered, unknown to Darwin, by a Moravian monk called Gregor Mendel – a unit of selection.

Logistic regression modeling with stepwise variable selection identified which prespecified baseline characteristics were associated with the primary outcome.

Models derived from the literature that were applied a priori were only weak predictors of erosion rate, but AIC-CV model selection identified 3 strong statistical models.

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