Sentence examples for statistic representation from inspiring English sources

On the other hand, using the Eulerian approach to define very small links (some few meters, e.g. <30 m), a significant <span class="lh">statistic representation of traffic dynamics, in that link, was not obtained, particularly in areas with low traffic flow.

These two kind of word sense input methods are based on the statistic word sense representation and disambiguation.

The other approach is to ignore the mapping of the specific binding sites and calculate an over-representation statistic for the transcription factor to assess whether it is the likely cause of the observed co-regulation.

Statistics related to over representation of functional categories were performed using a Fisher Exact statistic methodology similar to that described by Al-Shahrour et al [ 58].

Statistics related to over representation of functional categories were performed using DAVID, which is based upon a Fisher Exact statistic methodology similar to that described by Al-Shahrour et al [ 69].

The Blast2GO tool also enabled statistical analysis related to over representation of functional categories based on a Fisher Exact statistic methodology.

It is important to consider that this sequence was on the lower end of the R-statistic acceptance levels, and thereby its representation was not as biased for one caste or the other relative to those with higher R-statistic values.

PageMan and MapMan software tools were used to determine the statistic probability of over- or under-representation of the early, late or post- germination regulated genes in each bin and sub-bin [ 61, 62].

In the particular case of Gaussian white noise the representation of the optimum detection statistic obtained is known as the Cameron-Martin formula.

The multiple comparisons problem is addressed using continuous random field theory, assuming the statistic image to be a good lattice representation of an underlying continuous stationary random field.

These over representation approaches (ORA) use a statistic, such as Hypergeometric or average z-score, to assign a p-value that is the probability of seeing the observed overlap of a gene hit list and gene set by chance.