Sentence examples for based on statistical inference from inspiring English sources
This seems understandable, because a GRN represents an inferred network based on statistical inference algorithms and, in addition, gene expression data used to infer a GRN do not capture any type of direct physical interactions among molecules.
However, the two schemes are differently targeted: confidence scores in the databases inform about the level of experimental evidence of a reaction, while the network-based score measures occurrence likelihood based on statistical inference.
One recent approach in physics (based on statistical inference) has proved quite useful in graphing how similar/different one object is from another through network analysis (see Farrah et al. 2009).
In the paper, an approach based on statistical inference is presented for detecting roadwork zones.
Methods based on statistical inference within parametric signal models [3, 14, 15] have also been studied for this task.
This paper, based on statistical inference theory, proposed a method to solve this problem at the city zone scale.
They fear "online redlining," where products and services are offered to some consumers and not others based on statistical inferences and predictions about individuals and their behavior.
As there are presently no reliable means of predicting at the individual level which cancers are destined to progress and which will remain indolent, the estimates of the magnitude of such over-diagnosis are based on statistical inferences, with a rather wide range of estimates spanning zero to over 30% of cancers (National Breast Ovarian Cancer Centre, 2010).
Notwithstanding the approach used, the greatest challenge in the genetics of complex traits remains the identification of the gene(s) and the molecular variant(s) accounting for a genetic inference based on statistical testing.
It is now widely recognised that health care decision-making should move away from inference based on statistical significance [ 5] to avoid what Claxton et al. [ 6] describe as the perverse (and costly) situation of selecting a technology with the lowest chance of being cost-effective.
Because of unexplained heterogeneity and methodological limitations, any inferences based on statistical analysis should be viewed with caution.
