Optimizing design of two-stage experiments for transcriptional profiling

DOI10.1016/j.csda.2008.03.032zbMath1453.62205OpenAlexW2030759853WikidataQ59281405 ScholiaQ59281405MaRDI QIDQ961323

Robert J. Tempelman, Guilherme J. M. Rosa, Juan P. Steibel

Publication date: 30 March 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2008.03.032

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide

Uses Software

• PowerAtlas

Cites Work

• Optimal two-stage genome-wide association designs based on false discovery rate
• Two-Stage Designs for Gene-Disease Association Studies
• Two-Stage Designs for Gene-Disease Association Studies with Sample Size Constraints
• A Direct Approach to False Discovery Rates
• Power and sample size estimation in high dimensional biology

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