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The ROC curve of prediction results for Localizaed-1342 dataset indicated that this approach performs better than logistic regression, Bayesian network and other methods which are commonly used.
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Similar to the protein area PCA, PCA of this dataset indicated that the control sample profiles were more homogeneous than the OA sample profiles.
Rigorous cross-validation on a high quality benchmark dataset indicated that the proposed predictor is remarkably superior to "iLoc-Gneg", the state-of-the-art predictor for the same purpose.
Principal component analysis of the full dataset indicated that the variance between the two different instruments is negligible if corrected for the time of analysis.
Analysis of the GATA5 comparison dataset indicated that the pooling scheme allowed for accurate subject identification.
Results from a clinical dataset indicated that the awareness measure differed between scales.
The comparison between the native and synonymous-codon-shuffled dataset indicated that the usage bias of synonymous codons could account for the three-base periodicity in genes.
However, the Little's MCAR test obtained for our dataset indicated that the data was not missing at random (data not shown, p < 0.001) [ 62].
The correlation (Pearson's R > 0.83 for 75% of data points) for the set of interacting proteins from this dataset indicates that the signal of correlated evolution is present even in case of orthologous proteins that have not undergone large evolutionary divergence.
The results from this large dataset indicate that the two variants may be acting mechanistically differently; G396D appears to be a true example of recessive Mendelian disease, whereas the results for Y179C are more complex and there is therefore some argument against combining the two variants.
A high R-value for a dataset indicates that the dataset contains wide overlapping areas among its categories, and classification accuracy on the dataset may become low.
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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