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Inferring cancer subnetwork markers using density-constrained biclustering
Motivation: Recent genomic studies have confirmed that cancer is of utmost phenotypical complexity, varying greatly in terms of subtypes and evolutionary stages. When classifying cancer tissue samples, subnetwork marker approaches have proven to be superior over single gene marker approaches, most i...
| Autores principales: | , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935415/ https://www.ncbi.nlm.nih.gov/pubmed/20823331 http://dx.doi.org/10.1093/bioinformatics/btq393 |