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If no evidence supporting the computational prediction was found in the literature or the predicted term did not comply with SGD's annotation standards, then the prediction was scored as 'not helpful'.
Therefore, the task of a classifier is to assign the best consistent subgraph of the ontology to each new protein and output a prediction score for this subgraph and/or each predicted term.
An exact match between a predicted term and the corresponding true GO term for a protein indicates a correct prediction; and wrong prediction otherwise.
Experimental confirmation of predicted term enrichment results indicates that term enrichment algorithm is a useful method to identify experimental conditions in which gene relationship may take place, or to propose additional areas of investigation.
Its orthologs: Haloacid dehalogenase-like hydrolase domain containing 3 [Swiss-Prot: Q9BSH5] in H. sapiens and [Swiss-Prot: Q9CYW4] in M. musculus were both found to be associated with phosphoglycolate phosphatase activity (GO 0008967) and hydrolase activity (GO 0016787), which is an ancestor term of our predicted term (GO 0015662).
The 'not helpful' category also included instances where the body of literature for that gene refuted an association with the predicted term, or where no literature existed associating the particular gene product with the biological process represented by the prediction.
Similar(53)
This binary behavior is implicit in the way we compute CCS and how we determine predicted terms and targets of prediction.
However, besides pure precision and recall values, an important property of any function prediction method is the specificity of its predicted terms.
As such, they could produce undesirable solutions when applied to a wide range of prediction algorithms such as those outputting a large number of predicted terms.
The predicted terms were based on the commonly accepted models of Pfeffer, Wilson and Geankoplis, Kataoka, Sircar, and Lightfoot.
As a result, it was observed that among the 20 "incorrectly" annotated proteins, many predicted terms are closely correlated to the true GO terms with significant E-values.
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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