title: Discriminant analysis and its application in DNA sequence motif recognition.
abstract: Identification of functional motifs in a DNA sequence is fundamentally a statistical pattern recognition problem. Discriminant analysis is widely used for solving such problems. This paper will review two basic parametric methods: LDA (linear discriminant analysis) and QDA (quadratic discriminant analysis). Their usage in recognition of splice sites and exons in the human genome will be demonstrated.
authors.affiliation: Cold Spring Harbor Laboratory, Watson School of Biological Sciences, NY 11724, USA. Mzhang@cshl.org
authors.forename: M Q
authors.initials: MQ
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D019295:Computational Biology; D016002:Discriminant Analysis; D005091:Exons; D020224:Expressed Sequence Tags; D015894:Genome, Human; D006801:Humans; D022821:RNA Splice Sites; D017422:Sequence Analysis, DNA / Q000706:statistics & numerical data*; D012984:Software
chemical_list: D022821:RNA Splice Sites