Nonlinear gene cluster analysis with labeling for microarray gene expression data in organ development

BACKGROUND: The gene networks underlying closure of the optic fissure during vertebrate eye development are not well-understood. We use a novel clustering method based on nonlinear dimension reduction with data labeling to analyze microarray data from laser capture microdissected (LCM) cells at the...

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Detalles Bibliográficos
Autores principales: Ehler, Martin, Rajapakse, Vinodh N, Zeeberg, Barry R, Brooks, Brian P, Brown, Jacob, Czaja, Wojciech, Bonner, Robert F
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3090761/
https://www.ncbi.nlm.nih.gov/pubmed/21554761
http://dx.doi.org/10.1186/1753-6561-5-S2-S3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3090761/
https://www.ncbi.nlm.nih.gov/pubmed/21554761
http://dx.doi.org/10.1186/1753-6561-5-S2-S3

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