A strategy for identifying putative causes of gene expression variation in human cancers

DOI10.1016/j.jfranklin.2003.12.005zbMath1094.92027OpenAlexW2053339863WikidataQ58049498 ScholiaQ58049498MaRDI QIDQ2492542

Olli Yli-Harja, Markus Ringnér, Päivikki Kauraniemi, Reija Autio, Anne Kallioniemi, Olli-Pekka Kallioniemi, Henrik Edgren, Sampsa Hautaniemi, Jaakko T. Astola

Publication date: 14 June 2006

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2003.12.005

zbMATH Keywords

Data analysisBioinformaticsCancer

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Uses Software

• CGH-Plotter

Cites Work

• Permutation tests. A practical guide to resampling methods for testing hypotheses.