Shrinkage-based similarity metric for cluster analysis of microarray data

DOI10.1073/PNAS.1633770100zbMath1130.62369OpenAlexW2077542647WikidataQ30816644 ScholiaQ30816644MaRDI QIDQ5460797

Vera Cherepinsky, Jiawu Feng, Bud Mishra, Marc Rejali

Publication date: 19 July 2005

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.1633770100

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Bayesian inference (62F15) Biochemistry, molecular biology (92C40)

Related Items (3)

Cluster analysis using different correlation coefficients ⋮ Asymptotically optimal shrinkage estimates for non-normal data ⋮ A New Approach to the Estimation of Inter-Variable Correlation

Uses Software

• Unnamed Item

Cites Work

• Stein estimation -- a review

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