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Candidates with a score above a manually defined threshold are then predicted to be true indels.
The SNPs with non-zero regression coefficients are then predicted to be associated with the phenotype.
The target having the highest similarity score is then predicted to be present in the array sample.
Compound j was then predicted to be transformed by t e if the corresponding null hypothesis was rejected (i.e. if the Bonferroni-corrected P < 0.05).
Any amino acid residue having a posterior probability greater than 0.05 at any internal node of the tree for a given site was then predicted to be tolerated in the modern protein.
The latter hypothesis corresponds to the so-called 'good-genes' hypotheses of sexual selection, i.e. variation in genetic quality is then predicted to be linked to male characteristics that influence female mate choice.
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A 150% increase in the artemether-lumefantrine dose would provide dihydroartemisinin exposures similar to those observed in subjects without concomitant antiretroviral treatment, but lumefantrine exposures would then be predicted to be nine times higher.
If two of the three systems (RefSeq, ProTISA and GS-Finder) had the same TIS, then it was predicted to be the true TIS.
If drug therapy is strong enough to push R 0 below unity, then treatment is predicted to be successful, independent from the virus load at the start of treatment.
If this were correct, then LRRK2 would be predicted to be an accelerant of α-synuclein toxicity.
We then find those genes predicted to be targets of mmu-mir-155.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com