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This means that the valid models reported by SPELLER are only row-maximal.
Note that the valid models identified by the original SPELLER algorithm are already row-maximal.
Step 3 of e-CCC-Biclustering, described in detail in procedure deleteRepeatedBiclusters below, uses a hash table to remove from modelsOcc all the valid models that, although maximal (left and right), identify repeated e-CCC-Biclusters.
In order to solve the Common Motifs Problem, SPELLER builds a generalized suffix tree T for the set of sequences S i and then, after some further preprocessing, uses this tree to "spell" the valid models.
In step 2 of e-CCC-Biclustering (details in procedure deleteNonLeftMaximalBiclusters below), we remove from the valid models stored in modelsOcc (identifying right-maximal e-CCC-Biclusters) those not corresponding to left-maximal e-CCC-Biclusters.
We will now show that SPELLER can be adapted to extract all right-maximal e-CCC-Biclusters from this transformed matrix A by building a generalized suffix tree for the set of | R| strings S i obtained from each row in A and use it to "spell" the valid models using the symbols in the new alphabet Σ '.
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In other words, the different valid models that exist in the WHOQOL-Bref can help us to understand the QOL characteristics of particular cultures or groups.
In vivo studies are considered to provide the most valid models of human critical illness because they utilise integrative mammalian physiology.
Instrumented dogs or rabbits are the most valid models, but cannot be used for screening large number of NCEs, both for ethical and financial reasons.
As a very practical way the following identification strategy was used: independent model parameter estimation in the different working points and the calculation of the global valid model output as the weighted sum of the sub-models.
Furthermore, we also cannot integrate the elimination of valid models corresponding to the same right-maximal e-CCC-Biclusters in our modified version of SPELLER since we need the set of all valid models corresponding to right-maximal e-CCC-Biclusters in order to discard valid models which are not left-maximal in the second step of e-CCC-Biclustering.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com