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Feature selection of gene expression data for Cancer classification using double RBF-kernels
BACKGROUND: Using knowledge-based interpretation to analyze omics data can not only obtain essential information regarding various biological processes, but also reflect the current physiological status of cells and tissue. The major challenge to analyze gene expression data, with a large number of...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6206917/ https://ncbi.nlm.nih.gov/pubmed/30373514 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2400-2 |
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