title: Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.
authors.affiliation: Artificial Intelligence Research Laboratory, Department of Computer Science,Iowa State University, Ames, IA 50010, USA. cornelia@cs.iastate.edu
authors.forename: Cornelia
authors.initials: C
authors.lastname: Caragea
authors.forename: Doina
authors.initials: D
authors.lastname: Caragea
authors.forename: Adrian
authors.initials: A
authors.lastname: Silvescu
authors.forename: Vasant
authors.initials: V
authors.lastname: Honavar
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D008390:Markov Chains; D008954:Models, Biological; D010940:Plant Proteins / Q000737:chemistry / Q000378:metabolism; D011506:Proteins / Q000737:chemistry / Q000145:classification* / Q000378:metabolism*; D015203:Reproducibility of Results; D013347:Subcellular Fractions / Q000737:chemistry / Q000378:metabolism*
chemical_list: D010940:Plant Proteins; D011506:Proteins