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Effect of Data Combination on Predictive Modeling: A Study Using Gene Expression Data
BACKGROUND: The quality of predictive modeling in biomedicine depends on the amount of data available for model building. OBJECTIVE: To study the effect of combining microarray data sets on feature selection and predictive modeling performance. METHODS: Empirical evaluation of stability of feature s...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3041313/ https://ncbi.nlm.nih.gov/pubmed/21347042 |
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