Author:
Enot David P,Lin Wanchang,Beckmann Manfred,Parker David,Overy David P,Draper John
Publisher
Springer Science and Business Media LLC
Subject
General Biochemistry, Genetics and Molecular Biology
Reference69 articles.
1. Somorjai, R.L., Dolenko, B. & Baumgartner, R. Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions. Bioinformatics 19, 1484–1491 (2003).
2. Berrar, D., Bradbury, I. & Dubitzky, W. Avoiding model selection bias in small-sample genomic datasets. Bioinformatics 22, 1245–50 (2006).
3. BragaNeto, U.M. & Dougherty, E.R. Is cross-validation valid for small-sample microarray classification? Bioinformatics 20, 374–380 (2004).
4. Lyons-Weiler, J. et al. Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studies. Cancer Inform. 1, 53–77 (2005).
5. Broadhurst, D.I. & Kell, D.B. Statistical strategies for avoiding false discoveries in metabolomics and related experiments. Metabolomics 2, 171–196 (2006).
Cited by
97 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献