Sentence examples for detailed inference from inspiring English sources

Detailed inference about the actual nature of the Earth's lithosphere is not, itself, a goal.

We use this data to infer 393 novel mutations, infer widespread heteroplasmy, make a detailed inference of the recent population history of the Danish population and we associate all variation with case/control status as well as with quantitative traits associated to metabolic disorders, but measured in the controls.

The detailed inference of the model was described previously [16], [24], and in the appendix S1, we outlined the process.

More detailed inference of clonal evolution from a single sample requires additional assumptions about the evolutionary process, such as parsimony (Hajirasouliha et al., 2014; Strino et al., 2013).

A detailed inference of the demographic history of the three subspecies of chimpanzee we surveyed is not our primary focus, and our sample was not designed for such a goal.

The method implemented by bayou allows the inference of the location, magnitude and number of adaptive shifts within a multiple-optima OU framework, hereby providing a detailed inference of selective shifts in the phylogeny (Univariate OU analysis).

Martin Carver warns against using the scant material that exists to draw detailed inferences about the earliest Wuffingas kings.

Section 4 gives detailed posterior inferences of PF-ISFA.

In the sections that follow, details, inferences and applied impacts of the current findings in relation to host-symbiont collaborative digestion and biofuel production are discussed.

When the analyses were repeated after the exclusion of children with a birth weight lower than 2.5 Kg (results not shown in detail), inferences remained unaffected or attenuated slightly whilst the confidence intervals around the effect estimates became as expected slightly wider due to the reduced sample size.

The most commonly used models for GRNs inference based on Boolean networks, Bayesian networks, dynamic Bayesian networks, association networks, novel two-stage model using integration of a priori biological knowledge, differential and difference equations models are detailed and their inference capabilities are compared.