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The optimal segmentation is computed and compared to a predictor based on marginal posterior modes, and the latter is shown to provide significant improvement in predictive accuracy.
To build a predictor based on the methylation status of the 115 selected genes with larger variation across the original series, we used the web tool SignS (http://signs.bioinfo.cnio.es) [21].
To determine if the gene signatures gave prognostic information additional to the clinical variables described above, we generated a predictor based on a principal components analysis using the clinical variables, and then developed additional models using both the clinical variables and the individual gene signatures.
Notably, a predictor based on the structural features only attains a more significant area of 0.6 under the ROC curve.
A predictor based on the red and green lines of Figure 6 and its T+/A+ equivalent performs slightly better than the one described.
It is not the same as a predictor based on quantitative trait transcripts [ 104, 105], which are simply transcripts found to be associated with a trait.
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If one wants a class predictor based on a small number of genes, the threshold significance level is made very small.
We discovered a correlation between gene expression profiles and glioma prognosis, and we developed a prognosis predictor based on a 58-gene profile [ 5].
A linear predictor based on a fractional ARIMA process is introduced.
Because there is evidence that dimensional models of antisocial personality pathology are superior to taxonomic ones, we chose to enter the criteria count rather than a categorical predictor based on a rationally derived cut-off for diagnosis that would result in loss of information on either side of the cut-off [ 32- 34].
Their model is essentially a linear predictor based on a number of features which comprise the presence of the ATTGAAAN motif in repeats, a higher A or T content in the flanking regions of CRISPR arrays, nucleotide composition within the CRISPR array, the presence of mutations in specific parts of the array and the tendency to fold into a secondary structure.
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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