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But all these methods share a problem.
All of the DTN routing methods share a similar characteristic, the 'store-carry-forward' fashion.
Most FR bottom-up quality assessment methods share a similar framework known as the error-visibility paradigm [1].
These methods share a common feature that high growth temperatures (>500°C) and costly equipments are usually necessary.
Although these methods share a common transform domain workbench, they differ to the type of the orthogonal polynomial basis used as kernels in constructing the moment coefficients.
As representatives of the background subtraction approach, these four methods share a common overall structure: they keep a background model that is built when the scene does not contain objects of interest.
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Thus, the three methods share an overall approach of identifying fusions based on aligning paired-end reads and detecting evidence of fusion junction.
The three methods shared a total of 1,352 spectral identifications in the EC HCD data set and 607 spectral identifications in the EC ETD data set.
When the disequilibrium was absent in either of the populations (populations 1 6), all three methods shared a low probability of making false positive inference using case and control samples from these populations separately (Table 4).
The maximum parsimony trees from each method shared a number of commonalities [see Additional file 2].
Pathways differed by the percent of shared transfers, with each detection method sharing a different percentage of transfers.
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