Functional Clustering Algorithm for High-Dimensional Proteomics Data
نویسندگان
چکیده
منابع مشابه
Functional Clustering Algorithm for High-Dimensional Proteomics Data
Clustering proteomics data is a challenging problem for any traditional clustering algorithm. Usually, the number of samples is largely smaller than the number of protein peaks. The use of a clustering algorithm which does not take into consideration the number of features of variables (here the number of peaks) is needed. An innovative hierarchical clustering algorithm may be a good approach. ...
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ژورنال
عنوان ژورنال: Journal of Biomedicine and Biotechnology
سال: 2005
ISSN: 1110-7243,1110-7251
DOI: 10.1155/jbb.2005.80