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Since d 1 only accounts for one mutant, we need to average several calculations.
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We compute the average runtime per file once when running FindBugs on mutants, we need to run it only on the mutated file and not on the entire system.
To calculate the fitness of a focal individual (Equation 5) and evaluate the fixation probability of the different mutants, we need to express the means and covariances of offspring production in terms of care phenotypes.
We also have to analyze cases of sentences with mutants, in particular, we need to identify how they are described in a sentence.
To analyze the expected appearance time τ of the first mutant cell with surviving lineage, we need to distinguish between two cases: (i) the first surviving mutant is generated before the resident cells reach their carrying capacity and (ii) the first surviving mutant is generated when the resident cells are at their carrying capacity.
Again, to fully evaluate the ability of small molecules to modulate the mutant mGlu1 receptors, we needed to develop mGlu1 PAMs in alternative chemotypes, beyond 5, to ensure caveats with species differences and ligand bias did not preclude accurate interpretations and mask physiological responses.
To overcome this problem, we need a mutant deleting all RND pumps and sustaining TolC in which fluorescein is accumulated.
To compute R m we need to compare different mutant sequences.
When impacts have been extracted and correctly classified according to directionality, we need to find the mutant that has this change in protein property relative to the wildtype.
The main point with respect to covering and analysing mutation-based test requirements regarded the analysis of mutants to figure out if we needed to either classify them as equivalent or devise new test cases to kill them.
Someone thought we needed a "Teenage Mutant Ninja Turtles" remake...and chose Michael Bay to direct it.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com