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...
| Publicado en: | Journal of Translational Medicine Vol. 7; pp. 81 - 82 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | Ver este registro en EBSCOhost |