A new algorithm for comparing and visualizing relationships between hierarchical and flat gene expression data clusterings
نویسندگان
چکیده
منابع مشابه
A new algorithm for comparing and visualizing relationships between hierarchical and flat gene expression data clusterings
MOTIVATION Clustering is one of the most widely used methods in unsupervised gene expression data analysis. The use of different clustering algorithms or different parameters often produces rather different results on the same data. Biological interpretation of multiple clustering results requires understanding how different clusters relate to each other. It is particularly non-trivial to compa...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2005
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bti644