Sentence examples for be informative for a from inspiring English sources

A pre post-intervention design is often the only choice that will be informative for a retrospre post-interventionn outbreak setting.

Although this interpretation does not immediately point us to a general purpose recovery algorithm (and different multi-view scenarios could indeed require markedly different algorithms), it can be informative for a number of reasons.

As stated above, this simple approach may be subject to potential bias, but nevertheless it can be informative for a preliminary analysis.

The algorithm thus tells us which alignment columns or regions can be expected to be informative for a particular target sequence.

Also, a single sentence describing if any of these components have distant homologues in prokaryotes (especially the recently described Lokiarchaeota) could also be informative for a non-expert audience (such as this reviewer).

Hence, we postulate that parameter π in a BayesC π model may not provide information on the size of an optimal SNP panel for prediction for small panels but could be informative for a higher density of markers.

By contrast, Control fragments are constrained to be informative for an auxiliary task (the Control task), and this criterion will certainly miss those visually interesting fragments which happen to be uninformative for the Control task.

For diseases with polygenic and shared environmental components of risk, the genotype of a relative of known phenotype can be informative for an individual's disease risk, over and above the individual's own genotype at that locus.

We show that genotypes of a relative of known phenotype can be informative for an individual's disease risk, over and above the same locus genotyped in the individual.

The details of the unfolding mechanisms of WT and disease-causing myoc-OLF domains variants, particularly at physiological pH, are informative for a pharmacological chaperone therapeutic effort [48] for myocilin glaucoma.

We specifically explored the performance of COPA, OS, ORT, the t-statistic and the GTI in relation to the number of samples that were informative for a given gene.