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The largest proportion of genes (26%), were classified as only having a general functional prediction or unknown function.
The classification considers also unresolved cases: (R) general functional prediction only; (S) function unknown.
The majority of these genes are of unknown function or have a very general functional prediction (table S2).
These three missense mutations were predicted to be damaging in functional prediction by SIFT and PolyPhen2.
Our data suggest that decoupling between phylogenetic and functional prediction can occur even within very closely related taxonomic groups.
Two-sided Welch's t-test and Benjamini-Hochberg FDR correction were performed in two-group functional prediction analysis.
In particular, our results suggest that tissue- and cell-type-specific functional prediction methods tend to have substantially better prediction accuracy than organism-level prediction methods.
This renders accurate functional prediction as key to an enhanced understanding of biological processes (Jiang et al. 2016).
The DCN of the relevant species was used to make functional prediction for the query protein.
Our method is applied to the functional prediction of proteins in yeast (Saccharomyces cerevisiae).
Protein functional prediction, or annotation, remains an important open problem in biology [1] [23].
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