title: Some remarks on predicting multi-label attributes in molecular biosystems.
abstract: Many molecular biosystems and biomedical systems belong to the multi-label systems in which each of their constituent molecules possesses one or more than one function or feature, and hence needs one or more than one label to indicate its attribute(s). With the avalanche of biological sequences generated in the post genomic age, it is highly desirable to develop computational methods to timely and reliably identify their various kinds of attributes. Compared with the single-label systems, the multi-label systems are much more complicated and difficult to deal with. The current mini review focuses on the recent progresses in this area from both conceptual aspects and detailed mathematical formulations.
authors.affiliation: Gordon Life Science Institute, 53 South Cottage Road, Belmont, Massachusetts 02478, USA. kcchou@gordonlifescience.org
authors.forename: Kuo-Chen
authors.initials: KC
authors.lastname: Chou
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D023281:Genomics; D006801:Humans; D011506:Proteins / Q000145:classification / Q000235:genetics / Q000378:metabolism; D040901:Proteomics; D013347:Subcellular Fractions
chemical_list: D011506:Proteins