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These findings were validated with qRT-PCR using the validation cohort (N = 32) (Figure 2A and 2B).
MiRNA patterns were confirmed by qRT-PCR with selected miRNAs using the validation cohort (Figure 3A, N = 28, including SR = 5; IR = 9; HR = 14).
Figure S1B showed that miR-126 expression in AML1-ETO positive patients was slightly higher than in AML1-ETO negative patients using the validation cohort.
To validate these results, we performed qRT-PCR for miR-100 (ALL = 31 and AML = 32, Figure 1C), miR-34a (ALL = 24, Figure 1D) and miR-146a (AML = 32, Figure 1E) using the validation cohort.
However, the models were evaluated not using the validation cohort.
When a validation study shows disappointing results, researchers are often tempted to reject the initial model and to develop a new predictive model using the validation cohort data.
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We used the validation cohort to assess the consistency of these observations of a relationship between oestrogen-regulated gene expression and ESR1 mutations.
We used the validation cohort to define the thresholds for the 0.1%, 0.5%, 1%, 5%, and 10% of women at highest estimated risk of ovarian cancer at two years.
We subsequently tested for replication using the validation VASST cohort of European ancestry, which was successfully genotyped for IL17A rs1974226.
When the nomogram was used in the validation cohort, the C-index was 0.594.
This prediction rule also showed a good calibration when used in the validation cohort.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com