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Classification and feature selection algorithms for multi-class CGH data
Recurrent chromosomal alterations provide cytological and molecular positions for the diagnosis and prognosis of cancer. Comparative genomic hybridization (CGH) has been useful in understanding these alterations in cancerous cells. CGH datasets consist of samples that are represented by large dimens...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2718623/ https://ncbi.nlm.nih.gov/pubmed/18586749 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btn145 |
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