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The obtained results indicated that the mutation score has been significantly improved for all models when using the novel fitness function.
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The data showed that the TPV mutation scores had a linear correlation with the duration of exposure to first-line PIs, especially in subjects in LPV/r group.
An overlapping SC35 binding motif (GGTC CTCA) is also disrupted, while a second SC35 binding site (GTC CTCAA>GTC TTCAA) is not affected by the mutation, but its score has been decreased from 3.572 to 3.341 (Table 4).
But interestingly, the two patients with a negative oral score had the same mutation type: an arginine substitution for glycine (table 3).
This was also substantiated by the bootstrap analyses in which four of the six mutations remaining in the final genotypic score had been selected in over 95% of the bootstrap samples.
Among these 17 mutants, five had a mutation score equal or greater than 10, indicating a possible homozygous mutation.
The first two samples (1/2 and 1/4 mutant allele) had mutation scores from 9 to 43; other samples had a score of 7 (Table 1).
If the user wants the smallest product set, the first solution is the best option, however it has a low mutation score.
Only three subjects had a TPV mutation score of ≥ 6 in LPV/r group.
Interestingly, the number of mutations (white to red scale) was negatively correlated with the CIN70 score, whereby patients with higher CIN70 scores had fewer mutations (r = −0.38, p = 0.018); however, there were a significant number of patients with missing values for this parameter.
The percentages of subjects that had at least one mutation listed in the TPV mutation score were not significantly different in both groups (11/21 vs. 15/20, P = 0.197).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com