A permutation test for determining significance of clusters with applications to spatial and gene expression data
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Publication:961928
DOI10.1016/j.csda.2009.05.031zbMath1453.62172OpenAlexW2040209571WikidataQ33801064 ScholiaQ33801064MaRDI QIDQ961928
Publication date: 1 April 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3023458
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items (3)
Minimax optimality of permutation tests ⋮ DESPOTA: dendrogram slicing through a pemutation test approach ⋮ Identification of target clusters by using the restricted normal mixture model
Uses Software
Cites Work
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- On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
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- Identifying genuine clusters in a classification
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