Literature DB >> 15615693

Quick and simple: quality control of microarray data.

Ursula Sauer1, Claudia Preininger, Robert Hany-Schmatzberger.   

Abstract

MOTIVATION: 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.
RESULTS: Methods for quantitative spot filtering are discussed and new sets of quality scores for data preprocessing are designed. As measures of spot quality also reflect the quality of protocols, they were employed to find the optimal print buffer in an optimization experiment. In order to determine problematic arrays within a set of replicates we tested methods of outlier detection which can suitably replace the visual inspection of slides. CONTACT: Ursula.Sauer@arcs.ac.at.

Mesh:

Year:  2004        PMID: 15615693     DOI: 10.1093/bioinformatics/bti238

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  CSAX: Characterizing Systematic Anomalies in eXpression Data.

Authors:  Keith Noto; Saeed Majidi; Andrea G Edlow; Heather C Wick; Diana W Bianchi; Donna K Slonim
Journal:  J Comput Biol       Date:  2015-02-04       Impact factor: 1.479

2.  Spot identification and quality control in cell-based microarrays.

Authors:  Michael Bauer; Keekyoung Kim; Yiling Qiu; Blaise Calpe; Ali Khademhosseini; Ronglih Liao; Ian Wheeldon
Journal:  ACS Comb Sci       Date:  2012-08-01       Impact factor: 3.784

3.  MASQOT: a method for cDNA microarray spot quality control.

Authors:  Max Bylesjö; Daniel Eriksson; Andreas Sjödin; Michael Sjöström; Stefan Jansson; Henrik Antti; Johan Trygg
Journal:  BMC Bioinformatics       Date:  2005-10-13       Impact factor: 3.169

4.  Crossword: a fully automated algorithm for the segmentation and quality control of protein microarray images.

Authors:  Todd M Gierahn; Denis Loginov; J Christopher Love
Journal:  J Proteome Res       Date:  2014-01-24       Impact factor: 4.466

Review 5.  Analytical Protein Microarrays: Advancements Towards Clinical Applications.

Authors:  Ursula Sauer
Journal:  Sensors (Basel)       Date:  2017-01-29       Impact factor: 3.576

6.  Advanced spot quality analysis in two-colour microarray experiments.

Authors:  Mikalai Yatskou; Eugene Novikov; Guillaume Vetter; Arnaud Muller; Emmanuel Barillot; Laurent Vallar; Evelyne Friederich
Journal:  BMC Res Notes       Date:  2008-09-17

7.  Detecting outlier microarray arrays by correlation and percentage of outliers spots.

Authors:  Song Yang; Xiang Guo; Yaw-Ching Yang; Denise Papcunik; Caroline Heckman; Jeffrey Hooke; Craig D Shriver; Michael N Liebman; Hai Hu
Journal:  Cancer Inform       Date:  2007-02-24

8.  An integrated bioinformatics approach to improve two-color microarray quality-control: impact on biological conclusions.

Authors:  Rachel I M van Haaften; Cristina Luceri; Arie van Erk; Chris T A Evelo
Journal:  Genes Nutr       Date:  2009-03-10       Impact factor: 5.523

  8 in total

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