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Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
BACKGROUND: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduction and classification are considerable challenges in statistical machine learning. We therefore propose a novel approac...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2846906/ https://www.ncbi.nlm.nih.gov/pubmed/20187963 http://dx.doi.org/10.1186/1471-2105-11-109 |