Gene selection is one of the important issues for cancer classification based on gene expression profiles. Filter and wrapper approaches are widely used for gene selection, where the former is hard to measure the relationship between genes and the latter requires lots of computation. We present a no
✦ LIBER ✦
Combining dissimilarity based classifiers for cancer prediction using gene expression profiles
✍ Scribed by Ángela Blanco; Manuel Martín-Merino; Javier De Las Rivas
- Book ID
- 115001168
- Publisher
- BioMed Central
- Year
- 2007
- Tongue
- English
- Weight
- 182 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1471-2105
No coin nor oath required. For personal study only.
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