Comparison of Two Output-Coding Strategies for Multi-Class Tumor Classification Using Gene Expression Data and Latent Variable Model as Binary Classifier
Multi-class cancer classification based on microarray data is described. A generalized output-coding scheme based on One Versus One (OVO) combined with Latent Variable Model (LVM) is used. Results from the proposed One Versus One (OVO) output- coding strategy is compared with the results obtained fr...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2010-03-01
|
| Series: | Cancer Informatics |
| Online Access: | http://la-press.com/comparison-of-two-output-coding-strategies-for-multi-class-tumor-class-a1909 |