In the METABRIC cohort, by selecting lymph node-negative untreated patients with ESR1+/ERBB2− tumours, it retained an intensity distribution characterised by two evident peaks and a local minimum that can be again well-approximated by the 60th percentile, therefore supporting the investigation of the prognostic role of miR-30e* by considering it as a dichotomous variable.
Topological studies of these PINs have shown that they have important properties such as scale-freeness of the degree distribution, characterised by most proteins having small degree constrasting with a small yet significant number of highly connected nodes, called hubs [ 1].
The 1/ f power law distribution characterises the brain arrhythmic activity, and the conspicuous peaks characterise the brain rhythms (so-called oscillations) [Bullock et al., 2003; He et al., 2010].
This part of the empirical distribution characterises the more reliable fraction of TF-DNA binding loci corresponding to high-avidity level BSs and represented in ChIP-seq experiment by number of overlapping DNA fragments (peak values) up to the maximal observed number of overlaps.
The figure also contains the best fit two-state MMPP for the combined channel rate distributions, characterised by p1-2 = 4.p2-1 and λ1 = 5 Mbps & λ2 = 3 Mbps.
Scale free distributions, characterised as having a power law degree distribution of P(k) ~ k-γ where γ is typically between 2 and 3 are common in both biological and non-biological networks [ 32].
To calculate sequence statistics under assumptions of independently segregating sites, we sample the number of segregating synonymous and non-synonymous polymorphisms from Poisson distributions characterised by Equations (11) and (13).
This study aims to evaluate the status of crocodiles in the Sahara and for Mauritania, in particular, it is aimed to update the distribution, characterise occupied habitats, provide local counts of crocodiles, and assess possible dispersal events.
The perilymphatic distribution is characterised by presence of nodules along the peribronchovascular interstitium, interlobular septa and subpleural areas.
The von Mises distribution is characterised by a mean (tilde {theta }) and a concentration κ, and is given by fleft(hat{theta}_{tk}, {Huge|}, mathcal{H}_{s}; tilde{theta}, kapparight) = c_{mathcal{M}} kappa), mathrm{e}^{kappa, {text{cos}}left(hat{theta}_{tk}-tilde{theta}right)}.
