Accounting for noise when clustering biological data
نویسندگان
چکیده
منابع مشابه
Accounting for noise when clustering biological data
Clustering is a powerful and commonly used technique that organizes and elucidates the structure of biological data. Clustering data from gene expression, metabolomics and proteomics experiments has proven to be useful at deriving a variety of insights, such as the shared regulation or function of biochemical components within networks. However, experimental measurements of biological processes...
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ژورنال
عنوان ژورنال: Briefings in Bioinformatics
سال: 2012
ISSN: 1467-5463,1477-4054
DOI: 10.1093/bib/bbs057