Discriminant analysis and its application in DNA sequence motif recognition

Zhang, M. Q. (November 2000) Discriminant analysis and its application in DNA sequence motif recognition. Brief Bioinform, 1 (4). pp. 331-42. ISSN 1467-5463 (Print)

URL: http://www.ncbi.nlm.nih.gov/pubmed/11465051
DOI: 10.1093/bib/1.4.331


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.

Item Type: Paper
Uncontrolled Keywords: Algorithms Bayes Theorem Computational Biology Discriminant Analysis Exons Expressed Sequence Tags Genome, Human Humans RNA Splice Sites Sequence Analysis, DNA/ statistics & numerical data Software
Subjects: bioinformatics > genomics and proteomics > analysis and processing
bioinformatics > genomics and proteomics
bioinformatics > genomics and proteomics > alignment > sequence alignment
CSHL Authors:
Communities: CSHL labs > Zhang lab
Depositing User: Matt Covey
Date: November 2000
Date Deposited: 31 Jan 2014 15:17
Last Modified: 31 Jan 2014 15:17
Related URLs:
URI: https://repository.cshl.edu/id/eprint/29374

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