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)
DOI: 10.1093/bib/1.4.331
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.
Item Type: | Paper |
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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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