Sentence examples for between functional labels in from inspiring English sources

The major idea of clusDCA is to leverage similarity between functional labels in addition to similarity between genes to prevent overfitting of sparsely annotated GO labels.

The connections between functional labels via hub TUs provide insights into the problem of proto-genes.

Results: We propose a novel function prediction algorithm, clusDCA, which transfers information between similar functional labels to alleviate the overfitting problem for sparsely annotated functions.

Analogously, functional labels that are close in their vector directions may be more semantically similar.

The more specific the functional label is in the hierarchy, the fewer member proteins this label has.

There appear to be multiple cases in which functional labels can be applied to groups proper within each supergroup.

In fact, most functional labels are only annotated with a rather small number of proteins.

A similar improvement was observed for functional labels with 11 30 annotations and also for the MF labels in human, yeast and mouse (Fig. 3 and Supplementary Fig. S2).

In addition, MNet takes into account the unbalanced label problem in protein function prediction, and incorporates a label weighted scheme into the unified objective function to give more emphasis to the functional labels with fewer proteins.

In addition, we removed the functional labels that have more than 300 member proteins: these functional labels are too general and their prediction is not as critical as for the others [ 25, 39].

The functional labels with the highest number of links are presented in Table 7.