Sentence examples for distance of a sequence from inspiring English sources

The mean distance of a sequence from all CCR5/NSI sequences was considered as a measure of its conservation.

As the coreceptor prediction score we use the mean distance of a sequence to all the NSI/CCR5-tropic sequences in the training set.

In addition to the expected span distance of a sequence read pair, aberrant mapping orientation can identify inversions and tandem duplications (Korbel et al., 2007; Kidd et al., 2008).

The intuition underlying Equation (8) is that if the alignment is good, the distance of a sequence residue pair shall match well with that of their aligned template residue pair.

This approach has an obvious limitation: the presence of misclassified sequences at short distance of a reference sequence might distort its purity curve and alter its AUC.

At run time, instead of performing 2.6 million comparisons, the distance of a given query sequence (represented in form of a vector) to each precomputed 'cluster centroid' is calculated.

We considered a region as a candidate promoter if both the Telo-box and Site II elements (TeloSII) were found (regardless of their order and distance) in a sequence window of 1 kb as suggested earlier by Gaspin et al. [ 27].

But there is one difference between profile distances and average distances: Average distances are a mean of maximum-likelihood distances of sequences between sequences of both groups, whereas the profile distance is a maximum-likelihood estimation between the "mean" of the sequences in both groups.

41 Furthermore, football players experience temporary fatigue during a game (eg, lower amount of sprinting, high-intensity running and distance covered after a sequence of repeated and intense actions), which may determine the outcome of crucial situations (eg, decreased technical and tactical behaviour and wrong cognitive choices).

On the one hand, we prove that almost surely, for large dimension, there is no eigenvalue of a Hermitian polynomial in independent Wigner and deterministic matrices, in any interval lying at some distance from the supports of a sequence of deterministic probability measures, which is computed with the tools of free probability.

FastGroup does not order clustering in any particular way, but instead chooses a sequence at random, grouping everything within a defined PSI distance of that sequence.