Literature DB >> 17411392

Microarray data quality - review of current developments.

Timothy Wilkes1, Holger Laux, Carole A Foy.   

Abstract

DNA microarray technologies have evolved rapidly to become a key high-throughput technology for the simultaneous measurement of the relative expression levels of thousands of individual genes. However, despite the widespread adoption of DNA microarray technology, there remains considerable uncertainty and scepticism regarding data obtained using these technologies. Comparing results from seemingly identical experiments from different laboratories or even from different days can prove challenging; these challenges increase further when data from different array platforms need to be compared. To comply with emerging regulations, the quality of the data generated from array experiments needs to be clearly demonstrated. This review describes several initiatives that aim to improve confidence in data generated by array experiments, including initiatives to develop standards for data reporting and storage, external spike-in controls, quality control procedures, best practice guidelines, and quality metrics.

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Year:  2007        PMID: 17411392     DOI: 10.1089/omi.2006.0001

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  17 in total

1.  Integrated imaging instrument for self-calibrated fluorescence protein microarrays.

Authors:  A P Reddington; M R Monroe; M S Ünlü
Journal:  Rev Sci Instrum       Date:  2013-10       Impact factor: 1.523

2.  Multiplexed, rapid point of care platform to quantify allergen-specific IgE.

Authors:  M R Monroe; A P Reddington; M Cretich; M Chiari; F Little; M S Ünlü
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

Review 3.  Networks and pathways in pigmentation, health, and disease.

Authors:  Laura L Baxter; Stacie K Loftus; William J Pavan
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Nov-Dec

4.  Microarray Data Preprocessing: From Experimental Design to Differential Analysis.

Authors:  Antonio Federico; Laura Aliisa Saarimäki; Angela Serra; Giusy Del Giudice; Pia Anneli Sofia Kinaret; Giovanni Scala; Dario Greco
Journal:  Methods Mol Biol       Date:  2022

Review 5.  Application of OMICS technologies in occupational and environmental health research; current status and projections.

Authors:  J Vlaanderen; L E Moore; M T Smith; Q Lan; L Zhang; C F Skibola; N Rothman; R Vermeulen
Journal:  Occup Environ Med       Date:  2009-11-20       Impact factor: 4.402

6.  Validating the genomic signature of pediatric septic shock.

Authors:  Natalie Cvijanovich; Thomas P Shanley; Richard Lin; Geoffrey L Allen; Neal J Thomas; Paul Checchia; Nick Anas; Robert J Freishtat; Marie Monaco; Kelli Odoms; Bhuvaneswari Sakthivel; Hector R Wong
Journal:  Physiol Genomics       Date:  2008-05-06       Impact factor: 3.107

7.  The predictive power of brain mRNA mappings for in vivo protein density: a positron emission tomography correlation study.

Authors:  Gaia Rizzo; Mattia Veronese; Rolf A Heckemann; Sudhakar Selvaraj; Oliver D Howes; Alexander Hammers; Federico E Turkheimer; Alessandra Bertoldo
Journal:  J Cereb Blood Flow Metab       Date:  2014-02-05       Impact factor: 6.200

8.  Human gene expression sensitivity according to large scale meta-analysis.

Authors:  Pei Hao; Siyuan Zheng; Jie Ping; Kang Tu; Christian Gieger; Rui Wang-Sattler; Yang Zhong; Yixue Li
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

9.  Quality control in microarray assessment of gene expression in human airway epithelium.

Authors:  Tina Raman; Timothy P O'Connor; Neil R Hackett; Wei Wang; Ben-Gary Harvey; Marc A Attiyeh; David T Dang; Matthew Teater; Ronald G Crystal
Journal:  BMC Genomics       Date:  2009-10-24       Impact factor: 3.969

10.  Unsupervised assessment of microarray data quality using a Gaussian mixture model.

Authors:  Brian E Howard; Beate Sick; Steffen Heber
Journal:  BMC Bioinformatics       Date:  2009-06-22       Impact factor: 3.169

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