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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...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2010
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2846906/ https://ncbi.nlm.nih.gov/pubmed/20187963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-109 |
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