Rank discriminants for predicting phenotypes from RNA expression

DOI10.1214/14-AOAS738zbMath1304.62131arXiv1401.1490OpenAlexW3104999573MaRDI QIDQ484006

Bahman Afsari, Ulisses M. Braga-Neto, Donald Geman

Publication date: 17 December 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1401.1490

zbMATH Keywords

order statisticsgene expressioncancer classificationrank discriminant

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Statistical ranking and selection procedures (62F07)

Related Items (2)

Rank discriminants for predicting phenotypes from RNA expression ⋮ Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction

Uses Software

• rda
• ElemStatLearn
• PAM

Cites Work

• Unnamed Item
• Regularized linear discriminant analysis and its application in microarrays
• Distance-Weighted Discrimination
• Rank discriminants for predicting phenotypes from RNA expression
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• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Classifying Gene Expression Profiles from Pairwise mRNA Comparisons
• The elements of statistical learning. Data mining, inference, and prediction
• Gene selection for cancer classification using support vector machines

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