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Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
BACKGROUND: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these genes is currently unknown. The purpose of this study is to infer gene function in Arabidopsis using machine-learning alg...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2213690/ https://www.ncbi.nlm.nih.gov/pubmed/17888165 http://dx.doi.org/10.1186/1471-2105-8-358 |