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Informative gene selection and the direct classification of tumors based on relative simplicity
BACKGROUND: Selecting a parsimonious set of informative genes to build highly generalized performance classifier is the most important task for the analysis of tumor microarray expression data. Many existing gene pair evaluation methods cannot highlight diverse patterns of gene pairs only used one s...
Tallennettuna:
| Julkaisussa: | BMC Bioinformatics |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4721022/ https://ncbi.nlm.nih.gov/pubmed/26792270 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-0893-0 |
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