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The computer simulation of the proposed algorithm is run on all images of this database.
In particular, we strongly underline that the proposed algorithm is run on the whole FVI using a common parameter setting.
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For each HP sequence considered, the proposed algorithm was run 10 times and the results from one of the most efficient runs are reported.
If the algorithm is run on two such trees, the running time will be O(n).
The regulatory network inference algorithm is run on a subset of the data.
The ARTIVA algorithm was run on each expression data set and we compared the proposed network model (selected as described in the previous subsection 'Model selection') with the original one.
The PG algorithm was run on 200 realizations for each set of probabilities { qfix, qfluct, p}.
The wireless receiver and the remaining part of the algorithm were run on a laptop computer.
Note that the inference algorithm was run on a selection of genes and cultivation parameters.
The algorithm was run on the complete UniProt/SwissProt and UniProt/TrEMBL databases from July 2009 199).
The algorithm was run on a physical server with a Dual Intel® Xeon® X5650 CPU running at 2.67 GHz with 24 Gb of RAM running Microsoft SQL Server 2008 R2.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com