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Each protein is also annotated with its ancestral function labels.
We retained the function labels which have at least 10 member proteins.
The correctly predicted GO molecular function labels by each method are highlighted in boldface.
Unlike the aforementioned methods, MNet jointly optimizes the multiple network integration and the network-based classifier for a set of function labels in a unified objective function.
After training examples with 80% weak-label ratios by different MIML methods, the trained model is then used to predict the GO molecular function labels of this protein.
Next, the composite network, along with the function labels, are given in input to a network (or kernel) based classification algorithm [ 5, 14- 16] to compute the likelihood of a specific function label for a protein.
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"The model" introduces the graph-based model for run-time composition, while "Fact process technology algorithm" and "Cost function" propose, respectively, a solving algorithm and a description of the cost function labeling the graph.
Members of the bocavirus genus contain an 3rd ORF of unknown function labeled NP1 gene.
MIMLNN reports no prediction result, and MIMLSVM only reports a wrong GO molecular function label.
In the tables, each row indicates the function annotation for a protein, and each column denotes a function label.
The gene-enrichment analysis is based on the Fisher's Exact test, which determines whether or not a given list of genes is enriched for a certain function label or if this function occurs in the list by chance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com