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Classification of Tumor Samples from Expression Data Using Decision Trunks
We present a novel machine learning approach for the classification of cancer samples using expression data. We refer to the method as “decision trunks,” since it is loosely based on decision trees, but contains several modifications designed to achieve an algorithm that: (1) produces smaller and mo...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Libertas Academica
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3579425/ https://ncbi.nlm.nih.gov/pubmed/23467331 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/CIN.S10356 |
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