Sentence examples for models for grouping from inspiring English sources

A recent analysis of the actin family from model organisms was utilized to derive predictive models for grouping Arp groups in a variety of taxa [ 41].

We proposed and verified a cluster algorithm based on a skellam model for grouping genes into distinct groups based on the pattern of gene expression in response to changing conditions or in different tissues.

This involved use of a logistic regression model that corresponds to Fienberg's continuation odds model for grouped survival times.

The effect of randomised groups on the odds of an event (transition) for each of the eight time intervals was tested simultaneously using a logistic regression model corresponding to Fienberg's continuation odds model for grouped survival times.

A multivariate logistic regression model for grouped data with maximum-likelihood estimators and a logit function was used to model the outcome, the number of positive cases in a holding.

Table 3 Comparison of models for groups of events occurring in 1801 1925 and other periods.

The results of implementation of LP models for groups 2 and 3 are also shown in Table 1.

Table 2 Comparison of models for groups of events related and unrelated to a late Quaternary fault.

Following the similarity hypothesis researchers build models for groups of chemicals that have a common molecular fragment or common properties.

In this study, a new framework is proposed for establishing empirical fragility models for groups of structures based on observed damage distribution.

We fitted separate second-stage models for group A and group B properties.