Sentence examples for these data characterised from inspiring English sources

Altogether, these data characterised Hsp27 as a potent therapeutic target in breast cancer bone metastasis and skeletal tumour growth.

In summary, these data characterise complex patterns of somatic methylation affecting S100 genes in the normal cerebellum and demonstrate their disruption causing epigenetic deregulation of multiple S100 family members in medulloblastoma development.

Parameter optimization can then be conducted for the subset of the data characterised by proper species names, as done here when reducing the 427 GenBank accessions to the 354 used for taxonomy-based optimization.

The degree of definition of the data characterising the RVP allowed considering precise levels of each dimension defining intermediate categories of individuals.

When comparing the linear relationship between the data characterising the tasks and indicators of the upper limb load (OCRA index and RTI), the comparison was equivalent, e.g. data on the number of actions per minute and force were common for both methods.

In order to describe microbial data characterised by an excess of zero counts (1−π), we assess the zero-inflated Poisson (ZIP) and zero-inflated negative binomial (ZINB) distributions as alternative statistical models.

Our results confirm conclusions from previous studies that point out the fruitfulness of analysing data characterised by small ( rho ) (Nelzek 2008).

It is also noteworthy that GFMAPR model exhibits improved forecasting ability overall compared models when applied on data characterised by strong variations.

GFMAPR shows excellent forecast capability for data characterised by fluctuations, variations and randomness; GFMAPR is quite effective for forecasting in the presence of small and medium sized data availability; GFMAPR is able to make relatively high accurate forecasts when compared against models frequently employment in the industry for forecasting; and.

When documented as described above, they consist of binary data, characterised either as having 'met' the standard or having 'not met' the standard.

In conclusion, sports injury data characterised by recurrent events due to repeat or subsequent injuries over a period of time need to be appropriately analysed to take into account the different likely dependences within the data.