Multi-instance multilabel learning with weak-label for predicting protein function in electricigens.

ABSTRACT: Nature often brings several domains together to form multidomain and multifunctional proteins with a vast number of possibilities. In our previous study, we disclosed that the protein function prediction problem is naturally and inherently Multi-Instance Multilabel (MIML) learning tasks. Automated protein function prediction is typically implemented under the assumption that the functions of labeled proteins are complete; that is, there are no missing labels. In contrast, in practice just a subset of the functions of a protein are known, and whether this protein has other functions is unknown. It is evident that protein function prediction tasks suffer from weak-label problem; thus protein function prediction with incomplete annotation matches well with the MIML with weak-label learning fr

SUBMITTER: Wu JS 

PROVIDER: S-EPMC4436452 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature