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A true-positive prediction classifies an infant who remains extubated as an extubation success.
A false-positive prediction classifies an infant who has failed extubation as having success.
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The MODLEM classifier provides a less specific prediction, classifying the example patient as not surviving six months with an associated score of 55%%.
For the final prediction, classify was called using the 'diaglinear' option, which fits a multivariate normal density to each group with a pooled estimate of covariance with the non-diagonal entries of the covariance matrix set to zero.
This resulted in the prediction of 31,661 high confidence genes, 19,233 low confidence genes (total 50,894) together with 16,504 predictions classified as TE-related.
As published, Mt3.5 (with the last annotation release Mt3.5v5) contained 62,379 annotated gene loci with 14,309 additional predictions classified as transposable element-related.
The first two tracks show the locations of FGENESH ab initio gene predictions classified as either putative protein-coding genes (blue) or transposable elements (red).
The disease prediction aspect classifies testing samples with our pre-defined disease prediction model.
A new MRSA prediction score classifies CO-pneumonia patients into low, medium, and high-risk groups based on objective criteria available at baseline.
When an A. thaliana protein was predicted to be crystallized and was crystallized in reality, this prediction was classified as true positive (TP).
When an A. thaliana protein was predicted to be crystallized but was not crystallized in reality, this prediction was classified as false positive (FP).
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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