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They are commonly used for protein function prediction where similar binding patterns imply similar catalytic functionality.
R General function prediction only.
c Proteins with function prediction.
These properties form the third requirement for function prediction.
In addition, we apply it to the totally different context of protein function prediction.
Our case studies demonstrate that SNP-protein function prediction tools resulted in widely dissimilar results.
An essential issue concerning the protein function prediction problem is the assessment of method reliability.
However, cluster boundary determinations often are subjective and non-optimal for the purpose of function prediction.
In the gene function prediction literature, values >0.7 are considered good and values >0.9 are atypical.
Network-based methods for function prediction have been comprehensively reviewed [10].
Figure 4 gives a schematic overview of our method for function prediction.
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