Identification of interaction patterns and classification with applications to microarray data

DOI10.1016/j.csda.2004.10.004zbMath1431.62260OpenAlexW2150084651MaRDI QIDQ959203

Anne-Laure Boulesteix, Gerhard Tutz

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.10.004

zbMATH Keywords

discriminationclassification treesgene expressionemerging patterns

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments ⋮ Unbiased split selection for classification trees based on the Gini index

Uses Software

• R

Cites Work

• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• A Permutation Test to Compare Receiver Operating Characteristic Curves
• Problems in the Analysis of Survey Data, and a Proposal
• The elements of statistical learning. Data mining, inference, and prediction
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