Approaches to multiplicity issues in complex research in microarray analysis
نویسندگان
چکیده
منابع مشابه
Approaches to multiplicity issues in complex research in microarray analysis
The multiplicity problem is evident in the simplest form of statistical analysis of gene expression data – the identification of differentially expressed genes. In more complex analysis, the problem is compounded by the multiplicity of hypotheses per gene. Thus, in some cases, it may be necessary to consider testing millions of hypotheses. We present three general approaches for addressing mult...
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OBJECTIVES Discussion of different error concepts relevant to microarray experiments. Review of some commonly used multiple testing procedures. Comparison of different approaches as applied to gene expression data. METHODS This article focuses on familywise error rate (FWER) and false discovery rate (FDR) controlling procedures. Methods under investigation include: Bonferroni-type methods and...
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Microarrays provide the ability to quantitatively measure the abundance of specific RNA transcripts through sample hybridization to a solid-state grid of oligonucleotides or amplicons. The prospect of measuring the entire transcriptome is extremely alluring, but as with any experiment, it should be met with caution and great consideration. The level of confidence we can assign to the results de...
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ژورنال
عنوان ژورنال: Statistica Neerlandica
سال: 2006
ISSN: 0039-0402,1467-9574
DOI: 10.1111/j.1467-9574.2006.00343.x