Performance Assessment of Kernel Density Clustering for Gene Expression Profile Data
نویسندگان
چکیده
منابع مشابه
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 analysing GEP data and compare its performance with the three most widely-used clustering methods: ...
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ژورنال
عنوان ژورنال: Comparative and Functional Genomics
سال: 2003
ISSN: 1531-6912,1532-6268
DOI: 10.1002/cfg.290