Performance Assessment of Kernel Density Clustering for Gene Expression Profile Data

Kernel density smoothing techniques have been used in classification or supervised learning of gene expression profile (GEP) data, but their applications to clustering or unsupervised learning of those data have not been explored and assessed. Here we report a kernel density clustering method for an...

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Detalles Bibliográficos
Autores principales: Shu, Guoping, Zeng, Beiyan, Chen, Yiping P., Smith, Oscar H.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2003
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2448457/
https://www.ncbi.nlm.nih.gov/pubmed/18629292
http://dx.doi.org/10.1002/cfg.290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2448457/
https://www.ncbi.nlm.nih.gov/pubmed/18629292
http://dx.doi.org/10.1002/cfg.290

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