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Double feature selection and cluster analyses in mining of microarray data from cotton
BACKGROUND: Cotton fiber is a single-celled seed trichome of major biological and economic importance. In recent years, genomic approaches such as microarray-based expression profiling were used to study fiber growth and development to understand the developmental mechanisms of fiber at the molecula...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2441630/ https://www.ncbi.nlm.nih.gov/pubmed/18570655 http://dx.doi.org/10.1186/1471-2164-9-295 |