iPFPi: A System for Improving Protein Function Prediction through Cumulative Iterations
We propose a classifier system called iPFPi that predicts the functions of un-annotated proteins. iPFPi assigns an un-annotated protein P the functions of GO annotation terms that are semantically similar to P. An un-annotated protein P and a GO annotation term T are represented by their characteris...
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Veröffentlicht in: | IEEE/ACM transactions on computational biology and bioinformatics 2015-07, Vol.12 (4), p.825-836 |
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Sprache: | eng |
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