Effect of pooling samples on the efficiency of comparative studies using microarrays

Shu-Dong Zhang, T.W. Gant

Research output: Contribution to journalArticle

55 Citations (Scopus)

Abstract

Motivation: Many biomedical experiments are carried out by pooling individual biological samples. However, pooling samples can potentially hide biological variance and give false confidence concerning the data significance. In the context of microarray experiments for detecting differentially expressed genes, recent publications have addressed the problem of the efficiency of sample pooling, and some approximate formulas were provided for the power and sample size calculations. It is desirable to have exact formulas for these calculations and have the approximate results checked against the exact ones. We show that the difference between the approximate and the exact results can be large.
Original languageEnglish
Pages (from-to)4378-4383
Number of pages6
JournalBioinformatics
Volume21
Issue number24
DOIs
Publication statusPublished - Dec 2005

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Computational Theory and Mathematics
  • Computer Science Applications

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