Microarray data classification using inductive logic programming and gene ontology background information
✍ Scribed by Einar Ryeng; Bjørn Kåre Alsberg
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 359 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0886-9383
- DOI
- 10.1002/cem.1263
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
There exists many databases containing information on genes that are useful for background information in machine learning analysis of microarray data. The gene ontology and gene ontology annotation projects are among the most comprehensive of these. We demonstrate how inductive logic programming (ILP) can be used to build classification rules for microarray data which naturally incorporates the gene ontology and annotations to it as background knowledge without removing the inherent graph structure of the ontology. The ILP rules generated are parsimonious and easy to interpret. Copyright © 2010 John Wiley & Sons, Ltd.