Sentence examples for models that avoids from inspiring English sources

This is a powerful approach for examining tightly linked SNPs in association models that avoids the computational complexity and degrees of freedom that accompany a formal haplotype analysis [10].

Targeting advertising is at the core of many if not most online business models that avoid subscription charges, whether apps or websites.

Single and multiphase flows in fractured porous media at the scale of natural reservoirs are often handled by resorting to homogenized models that avoid the heavy computations associated with a complete discretization of both fractures and matrix blocks.

But a number of savvy enterprise customers have adopted new software business models that avoid the inflexibility and financial pain associated with Big Software.

First, the use of simpler pricing models that avoid the complexity of AAA protocols [5, 10], which are less efficient for real-time and high available services [10].

Replacement refers to developing models that avoid or replace the use of animals altogether.

We have already presented a few robust models that avoid specification of functional parametric relationships for main effects [ 32, 40].

This was also observed in grouped data models that avoided fitting deficiencies when slaughterhouse and sex effects were score-dependent.

As we suggested above, models that avoid supervised learning have the advantage of a potentially increased yield in the case of de novo sequencing since they do not require resequencing of a known reference sequence for training.

This notion is entirely consistent with the observed subtle and highly tolerated cancer predisposing mutations of p16 deletion and cyclin D overexpression in mouse models that avoid activation of oncogene-induced apoptosis (Burkhart and Sage, 2008).

26 Notably, two types of well-validated models that avoid limitations of the Cox model (flexible parametric survival models and regression methods using pseudovalues) are both readily implemented in many standard statistical software packages including Stata (College Station, TX), SAS (Cary, NC), and R (Foundation for Statistical Computing, Vienna, Austria).