Sentence examples for characterise data from inspiring English sources

However, the bi-exponential model is typically used to characterise data which exhibit a steep deviation from mono-exponential behaviour at low diffusion-weightings, which is not the case in these data where the deviation from mono-exponential behaviour is observed at all diffusion-weightings (Fig.  2).

Extensive data profiling was applied to generate a well characterised data set (Pfizer dataset collection and profiling - Methods).

The scale used for the dependent variable characterises data with ordinal measurement level, i.e. we were dealing with discrete values.

Fracture mechanics is proposed as a suitable scheme to study and quantify ESC, with the aim being to obtain characterising data for different polymer-fluid combinations of interest, as well as to develop a reliable fracture mechanics test protocol.

While the toxicity profile of definitive radiotherapy is well characterised, data on side effects of adjuvant irradiation is relatively sparse.

Progress in biomarker development will also be advanced if characterising data for the identification of metabolites and evidence for the perturbation of metabolites under different pathophysiologies are not only published but also logged in readily accessible public databases such as HMDB.

In this study, we aimed to characterise the data currently available from social media networking platforms and to determine if, and how, such data can be tapped for surveillance of two specific safety issues: rosiglitazone and cardiovascular events (i.e. stroke and myocardial infarction), and HPV vaccine and infertility.

How do you characterise big data?

A number of rheological models are examined to establish how well they can characterise a data set of different, pseudoplastic, non-Newtonian fluids used in North Sea operations when their parameters are evaluated using the 'direct' parameter calculation procedure.

To characterise the data for subsequent synthesis, array pre-processing was performed using RMA [11], and for each probeset a maximum-likelihood lognormal distribution was fit to the six normal sample RMA expression measures.

Standard descriptive statistics were used to characterise the data.