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Quick and simple: quality control of microarray data
Author(s) -
Ursula Sauer,
Claudia Preininger,
R. Hany-Schmatzberger
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti238
Subject(s) - preprocessor , computer science , outlier , data mining , set (abstract data type) , contrast (vision) , quality (philosophy) , throughput , data set , filter (signal processing) , pattern recognition (psychology) , artificial intelligence , computer vision , telecommunications , philosophy , epistemology , wireless , programming language
Microarrays are high-throughput tools for parallel miniaturized detection of biomolecules. In contrast to experiments using ratios of signals in two channels, experiments with only one fluorescent dye cause special problems for data analysis. The present work compares algorithms for quality filtering on spot level as well as array/slide level.

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