On selection biases with prediction rules formed from gene expression data

DOI10.1016/j.jspi.2007.06.003zbMath1138.62087OpenAlexW2117047805MaRDI QIDQ2475725

Yanyan Li

Publication date: 11 March 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2007.06.003

zbMATH Keywords

discriminant analysiscross-validationsupport vector machine

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)

Related Items (1)

A very fast algorithm for matrix factorization

Cites Work

• Unnamed Item
• Unnamed Item
• Selection bias in working with the top genes in supervised classification of tissue samples
• Analyzing Microarray Gene Expression Data
• The Predictive Sample Reuse Method with Applications
• Selection bias in gene extraction on the basis of microarray gene-expression data
• Gene selection for cancer classification using support vector machines

This page was built for publication: On selection biases with prediction rules formed from gene expression data