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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Bibliographic Details
Main Authors: Shu, Guoping, Zeng, Beiyan, Chen, Yiping P., Smith, Oscar H.
Format: Artigo
Language:Inglês
Published: Hindawi Publishing Corporation 2003
Subjects:
Research Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2448457/
https://ncbi.nlm.nih.gov/pubmed/18629292
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cfg.290
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