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A kernel-based approach for detecting outliers of high-dimensional biological data
BACKGROUND: In many cases biomedical data sets contain outliers that make it difficult to achieve reliable knowledge discovery. Data analysis without removing outliers could lead to wrong results and provide misleading information. RESULTS: We propose a new outlier detection method based on Kullback...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2681063/ https://www.ncbi.nlm.nih.gov/pubmed/19426455 http://dx.doi.org/10.1186/1471-2105-10-S4-S7 |