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Simple decision rules for classifying human cancers from gene expression profiles
MOTIVATION: Various studies have shown that cancer tissue samples can be successfully detected and classified by their gene expression patterns using machine learning approaches. One of the challenges in applying these techniques for classifying gene expression data is to extract accurate, readily i...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2005
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1987374/ https://ncbi.nlm.nih.gov/pubmed/16105897 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bti631 |
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