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For ER and PR, the Allred scores (0−8) assigned by a pathologist were translated into negative for 0 score, weak for 2 and 3 scores, intermediate for 4, 5, and 6 scores, and strong for 7 and 8 scores.
The staining intensity was classified as negative (0 score), weak (1 score), moderate (2 score), or strong (3 score).
Although stronger signals have an higher impact on the GGEA score, weak regulations are also highly consistent in the sets found by GGEA.
When PCT, CRP and lactate concentrations were analysed according to the various severities of organ dysfunction measured by the SOFA score, weak correlations of PCT and CRP, and increasing values of both parameters during more severe stages of organ dysfunction were observed.
To evaluate EGFR staining score, we used the method described by Pirker and colleagues [ 26] as follows: 1 x + 2 y + 3 z ≥ 200 Positive 1 x + 2 y + 3 z < 200 Negative Where x is the percentage of tumor cells with 1+ score (weak staining), y is the percentage of tumor cells with 2+ score (moderate staining) and z is the percentage of tumor cells with 3+ score (strong staining).
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Intensity was scored as weak (score 1), medium (score 2) or high (score 3).
However, where BLASTx scored weak or no matches, InterProScan often returned different gene homology results.
Results were assigned to four groups according to their overall scores: weak, <160; distinct, 161<, >220; strong, 221<, >280; very strong, 280<.
Once each component was rated, an overall study rating of weak (if ≥2 of the components were scored weak), moderate (if <3 components were scored strong with no more than one weak score), or strong (if ≥3 components were scored strong) was given to each study.
Generally, these miRNAs had strong, positive associations to striatal and cortical H-V scores, weak positive association with disease duration and strong negative associations to onset and death age.
Most of the randomly chosen alternative sets of codons scored weaker associations than the actual sets of preferred codons, suggesting that codon position within plant genes and codon usage bias have coevolved to maximize translational accuracy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com