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Nucleic Acids Research, 2002, Vol. 30, No. 14 3235-3244
© 2002 Oxford University Press

Analysis of repeatability in spotted cDNA microarrays

Tor-Kristian Jenssen*,1,3, Mette Langaas2,3,4, Winston P. Kuo5,6,7, Birgitte Smith-Sørensen3, Ola Myklebost3 and Eivind Hovig3

1 Department of Computer and Information Science and 2 Department of Mathematical Sciences, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway, 3 Department of Tumor Biology, The Norwegian Radium Hospital, Montebello, NO-0310 Oslo, Norway, 4 Norwegian Computing Center, PO Box 114 Blindern, NO-0314 Oslo, Norway, 5 Children’s Hospital Informatics Program and Division of Endocrinology, Department of Medicine, Children’s Hospital, Boston, MA 02115, USA, 6 Decision Systems Group, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA and 7 Division of Health Sciences and Technology, Harvard University and Massachusetts Institute of Technology, Cambridge, MA 02139, USA

*To whom correspondence should be addressed at: Department of Tumor Biology, The Norwegian Radium Hospital, Montebello, NO-0310 Oslo, Norway. Tel: +47 22 93 53 92; Fax: +47 22 52 24 21; Email: tkj{at}idi.ntnu.no

We report a strategy for analysis of data quality in cDNA microarrays based on the repeatability of repeatedly spotted clones. We describe how repeatability can be used to control data quality by developing adaptive filtering criteria for microarray data containing clones spotted in multiple spots. We have applied the method on five publicly available cDNA microarray data sets and one previously unpublished data set from our own laboratory. The results demonstrate the feasibility of the approach as a foundation for data filtering, and indicate a high degree of variation in data quality, both across the data sets and between arrays within data sets.


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