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In this paper we make use of the automated GrowMatch procedure for restoring consistency with single gene deletion experiments in yeast and extend the procedure to make use of synthetic lethality data using the genome-scale model iMM904 as a basis.
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To restore consistency with minimal loss of semantics, we would change other semantic constraints of the ontology such that the resulting ontology is semantically as close as possible to the initial ontology.
We first mapped the genes from iAF692 onto the current genome-sequence of M. barkeri to restore consistency with the most up-to-date genomic information.
The key notion is that of recoveries, which are sets of variables whose forgetting enables restoring consistency.
GrowMatch suggests restoring consistency to this mutant by suppressing the sodium proton antiporter (abbreviation in iVS941: Nat3_1).
Either move would restore consistency among his various claims about knowledge of the mind.
In order to restore consistency an analysis and understanding of inconsistencies are mandatory.
Variable forgetting is used as a basic operation for weakening pieces of information so as to restore consistency.
When a conflict (of either kind) arises, steps have to be taken to preserve or restore consistency.
Then, an enhanced version of FIVER is presented to rectify this issue, restore consistency, and achieve for smooth problems the desired global convergence rate.
In this step, we restored consistency to only two of the 92 no production metabolites.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com