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A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data
BACKGROUND: In the studies of genomics, it is essential to select a small number of genes that are more significant than the others for the association studies of disease susceptibility. In this work, our goal was to compare computational tools with and without feature selection for predicting chron...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2765429/ https://www.ncbi.nlm.nih.gov/pubmed/19772600 http://dx.doi.org/10.1186/1479-5876-7-81 |