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We also applied the same equation to a subset of pre-chemotherapy pre-surgical PC patients to determine the ability of the predictor set to correctly classify patients into PC vs. non-PC.
Users can measure how their confidence in the relationship found between feature and the clustered phenotypes as well as the ability of the predictor to examine the quality and significance of the biomarker candidates they extracted using our package, CGPredictor.
Although the p-value, as we stressed in the Methods section, is more related to the ability of the predictor to explain the outcome variability than to the predictive ability, its value for the interaction term (0.0499) seems to support the existence of an interaction.
2 The ability of the predictor to correctly classify the blinded test set into the correct subgroup 3 (# of positive samples predicted correctly)/ total #of true positives) 4 (# of negative samples predicted correctly)/ total #of true negatives) a Armstrong et al. (2002) Nat.
To further test the ability of the predictor to generalize to novel MBOMP families, we trained it using only homologs of {VDAC, Tom40, Sam50} as MBOMP positive examples (BBOMPs were also included as positive examples in all cases), and then tested whether this predictor could correctly classify Mdm10 (as positive) and Mmm2 family (as negative).
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By obtaining the ROC curve we assess the ability of the predictors in the model to discriminate between absence and presence of MOH.
Therefore the predictive ability of the predictors considered in our study may have been influenced by the methods used to collect the data.
Overall, we find that there has been significant progress in the predictive abilities of the predictors over the last decade across diverse interaction types and datasets.
If the function γ spans a high-dimensional domain, the so-called curse of dimensionality [29] may significantly affect the ability of the ML predictor to converge to the true function.
Finally, we evaluated the prognostic ability of the differentiation predictor in the UNC337 and NKI295 breast cancer patient data sets.
The Spearman's correlation between the risk scores produced by the predictor and that produced by GGI, previously described in Sotiriou et al, 2006 [ 5], was calculated to assess the contribution of proliferation-related genes to the prognostic ability of the current predictor.
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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