Sentence examples for obtained overlap from inspiring English sources

Exact(3)

The problem is cast as the probability that a randomly obtained overlap of a certain size between the user's set and a network/pathway follows a hypergeometric distribution.

The direction displaying larger overlap was taken, and the obtained overlap value normalized between 0 (less than or equal to random overlap) and 1 (complete overlap; scripts available on request).

This problem is cast as the probability that randomly obtained overlap of certain size between the user's set and a network/pathway follows a hypergeometric distribution: P (r, n, R, N ) = C R r ⋅ C N − R n − r C N n = C n r ⋅ C N − n R − r C N R = R ! (N − R ) ! N !

Similar(56)

In this whole process, storage space of data points is not increased with new obtained overlapping scans, and none of the overlapping points are discarded which increases the representation accuracy.

The obtained overlapping PCR products were sequenced by BGI tech sequencing service (Beijing, China).

We merged the adjacent CNAs and also obtained overlapped CNAs found in two or more samples using R package CNTools.

The obtained partial cDNA sequences were extended by 5′ and 3′ RACE PCR and for each receptor, a contiguous sequence (contig) was assembled from the obtained overlapping partial sequences.

Samples of the virus harvest were also used to generate RNA samples as described above and used in RT-PCR assays using appropriate primer sets to obtain overlapping cDNA fragments corresponding either to selected regions of the genome or, in some cases, to the near complete genome (lacking the extreme 5' untranslated region on the 5' side of the poly(C) tract).

A novel algorithm BCe based on edge betweenness and vertex betweenness obtain overlapping structures by choosing the similarity threshold values between vertices pairs.

Obtaining overlapping clusters thus implies either using edges or maximal cliques: The maximal cliques of graph G : can be computed for large PPI graphs because such networks are very sparse.

First, there is a redundancy between these profiles, caused by the way the origins are obtained: they overlap with a step of 10 residues.

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