Detalle de: Classification of multiple cancer types in a hyper reproducing kernel hilbert space
| Title | Classification of multiple cancer types in a hyper reproducing kernel hilbert space |
| Abstract |
The classification of multiple cancer types based on the gene expression profiles is a challenging task. Support Vector Machines (SVM) have been applied to this aim but they rely on Euclidean distances that fail to reflect accurately the proximities among sample profiles. |
| Apa Reference | Blanco, A., Martin-Merino, M., & De Las Rivas, J. (2008). Classification of multiple cancer types in a Hyper Reproducing Kernel Hilbert Space. 2008 8th IEEE International Conference on BioInformatics and BioEngineering, 1–5. 10.1109/bibe.2008.4696693 |
| Doi | 10.1109/BIBE.2008.4696693 |
| Publication Date | Oct 2008 |
| Publication Type | Conference paper |
| Researcher | Javier De Las Rivas |
| Ontology | Transcriptomics, Machine Learning in Biology, Expression Profiling |
| Research Groups | Bioinformatics and Functional Genomics |
| Tools |