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...

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Detalles Bibliográficos
Autores principales: Alabady, Magdy S, Youn, Eunseog, Wilkins, Thea A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research Article
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

Internet

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

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