Sentence examples for be included in predictive from inspiring English sources

Ideally, seedlot information should also be included in predictive growth and wood quality models, as even with the limited data collected in the current study, the seedlots registered some significant effects.

In fact, the present results clearly show that inclusion of isolated AA/TT dinucleotides detracts from the strength of periodicities when all AA/TT steps are computed in both in vitro and in vivo libraries, which raises the question as to whether isolated AA/TT dinucleotides should even be included in predictive models for nucleosome occupancy.

Survivin may be included in predictive models for improved treatment decisions for patients with early RA.

Also, larger numbers of participants increase the statistical power when selecting predictive subject characteristics to be included in predictive models.

The latter might also include multilevel approaches which allow effects of higher level factors, such as the effects of neighbourhood environments, to be included in predictive models [ 23– 25].

A number of important sociodemographic and other variables, such as performance status and patient preference towards treatment, are not measured by these data and thus cannot be included in predictive models to better assess important issues related to cancer outcomes, including medical decision making and patient preferences for care.

Consequently, CENP-A has been included in predictive genetic profiles in breast cancer [ 9, 10].

Information on overall level of cardiac functioning of the ACS patients was included in predictive models, using cardiac ejection fraction, a continuous measure with a possible range of 0% or 100% [ 36].

Unbiased discovery studies that rely on proteomics4 or metabolomics18 have the great advantage to identify a larger panel of targets to be included in the predictive model and to explore a greater universe of candidates without limiting to those that have been related to pathogenesis.

This regression method employs an iterative algorithm to determining the features that should be included in a predictive model.

A trivial example is where two markers are perfectly correlated, in which case only one of the two needs to be included in a predictive feature subset.