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To make this search comprehensive, the time span was set to "All" (i.e., all publications since 1899).
2. Was the search comprehensive? 3. Were the inclusion criteria reported?
In this paper, we propose a novel biclustering algorithm called BIclustering by Correlated and Large number of Individual Clustered seeds (BICLIC) aiming to search comprehensive sets of biclusters with correlated gene expression patterns.
The purpose of this test is to verify the ability of BICLIC to search comprehensive correlated patterns as well as to compare the performance of BICLIC with that of the BCCA and QUBIC algorithms.
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To investigate the usefulness of BICLIC in searching comprehensive sets of correlation-based biclusters, a yeast Saccharomyces cerevisiae dataset [ 25] and lung cancer dataset [ 26] were analyzed.
There were no restrictions applied to language and a number of literature databases were searched using a comprehensive search strategy.
The search is comprehensive, searching the full text of works in the database.
Two complementary search techniques, comprehensive learning and a subgradient method, are studied.
The in silico PCR primer or probe search includes comprehensive analyses of individual primers and primer pairs.
However, our search was comprehensive.
Performed the literature search, the comprehensive final data analysis and the data interpretation: KA.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com