As the number of sequenced genomes rapidly grows,there are a large number of proteins with unknown function in new *** learning methods can assist biologists for selecting the most valuable ones as candidates for biol...
As the number of sequenced genomes rapidly grows,there are a large number of proteins with unknown function in new *** learning methods can assist biologists for selecting the most valuable ones as candidates for biological ***,it is proved that the protein function prediction task is naturally Multi-Instance Multi-Label (MIML) learning *** this paper,we formulate the problem of selecting the most valuable proteins in annotating genome-wide protein functions as a MIML active learning task,Then,we propose a MIML active learning framework named MIMLAL and design two algorithms MIMLAL-A and MIMLAL-R for genome-wide protein function prediction.
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