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Optimally discriminative subnetwork markers predict response to chemotherapy
Motivation: Molecular profiles of tumour samples have been widely and successfully used for classification problems. A number of algorithms have been proposed to predict classes of tumor samples based on expression profiles with relatively high performance. However, prediction of response to cancer...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3117373/ https://ncbi.nlm.nih.gov/pubmed/21685072 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btr245 |
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