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The average localization error for 5BLCT shows how the test data are represented in the learned matrix.
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The regression plots of both training and test data is represented in Fig. 9a through 9d for the two MLP networks considered.
Statistical analysis was performed using a Student's t test and the data are represented as the means±S.E.M. * P<0.05.
Data are represented as mean and S.E.M. ANOVA (analysis of variance) test and Tukey's post test were used to determine statistical significance of difference between data sets.
Data are represented as mean ± SEM and were compared by t test (*p < 0.01).
Data are represented as mean ± SEM and were compared by t test (*p < 0.05, **p < 0.01).
Data are represented as mean ± SD unless indicated otherwise; Mann–Whitney U test, * p < 0.05.
Data are represented as medians, and treatment groups are compared using nonparametric tests.
Data are represented as mean±S.E.M. Significance was assessed using a Mann-Whitney rank sum test since the data was not normally distributed.
Data are represented as mean values with 95%-confidence intervals (two-tail t-test, α = 0.05, n = 3).
Data are represented as the mean with SEM, using student's paired t-test.
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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