title: What are decision trees?
abstract: Decision trees have been applied to problems such as assigning protein function and predicting splice sites. How do these classifiers work, what types of problems can they solve and what are their advantages over alternatives?
authors.affiliation: Department of Computer Science, Institute for Advanced Computer Studies and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742, USA. carlk@cs.umd.edu
authors.forename: Carl
authors.initials: C
authors.lastname: Kingsford
authors.forename: Steven L
authors.initials: SL
authors.lastname: Salzberg
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D035843:Biomedical Research / Q000295:instrumentation / Q000379:methods; D019295:Computational Biology / Q000379:methods; D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D003663:Decision Trees; D016681:Genome, Fungal; D015894:Genome, Human; D006801:Humans; D015233:Models, Statistical; D016571:Neural Networks, Computer; D025941:Protein Interaction Mapping; D012441:Saccharomyces cerevisiae / Q000235:genetics
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