Empirical study for the agreement between statistical methods in quality assessment and control of microarray data

DOI10.1007/s00180-010-0216-2zbMath1304.65066OpenAlexW1992981170MaRDI QIDQ2513345

Markus Schmidberger, Ulrich Mansmann, Esmeralda Vicedo

Publication date: 28 January 2015

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-010-0216-2

zbMATH Keywords

empirical studymicroarraybioconductorquality assessment and control

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Uses Software

• R
• Bioconductor
• gcrma
• Simpleaffy
• multicore
• affy
• affyPara
• arrayQualityMetrics
• ArrayExpress

Cites Work

• Bioinformatics and computational biology solutions using R and Bioconductor.
• The Measurement of Observer Agreement for Categorical Data
• Statistical Methods for Rates and Proportions
• Unnamed Item

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