Performance predictions are commonly made using simulation software (bespoke or generic) based on mathematical functions (empirical or analytical) to model heat loads, heat transfer and many other effects; [2] and [3] present typical examples.
Although Pfam prediction is commonly accepted, it does not predict all structural and functional motifs and domains.
Statistical prediction is commonly presented under either probabilistic or deterministic settings.
In clinical practice, this prediction is commonly made on the basis of clinical and routine biochemical parameters, which are combined in prognostic scores as the Child-Turcotte-Pugh (CTP) [ 10] or the Model for the End-Stage Liver Disease (MELD) scores [ 11], and, less commonly, on the basis of the invasive measurement of portal pressure.
The 'per protein topology prediction' category is commonly used in the field of transmembrane topology prediction (see for example pmid:15215532).
Under our definitions of TP, FP, TN, and FN predictions, specificity, which is commonly defined as <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0011147.e163.PNG" class= inline-graphic"/>, is not a useful metric.
The compounds identified here have been distinguished purely based on their activity in the bioassay and not due to their presence on priority lists, production volumes or prediction models, as is commonly the case.
Absolute, squared distance measures are common for next event prediction, while log distance is commonly used for probabilistic settings prediction.
Short term current prediction for operational purposes is commonly carried out with the help of numerical ocean circulation models.
Outcome prediction in critically ill patients is commonly performed using general-purpose scoring systems such as the Acute Physiology and Chronic Health Evaluation (APACHE) score [1] and the Simplified Acute Physiology Score (SAPS) [2], which have been developed in unselected series of ICU patients.
