Reducing Spatial Flaws in Oligonucleotide Arrays by Using Neighborhood Information

Arteaga-Salas Jose Manuel, Harrison Andrew P and Upton Graham J. G.
Additional contact information
Arteaga-Salas Jose Manuel: University of Essex
Harrison Andrew P: University of Essex
Upton Graham J. G.: University of Essex

Statistical Applications in Genetics and Molecular Biology, 2008, vol. 7, issue 1, 19

Abstract: We address the problem of detection and correction of spatial flaws in oligonucleotide microarrays. We present two similar procedures, of which one is intended solely for use with replicates and the other has wider applicability. By constructing a set of replicates, with one realistically flawed, we are able to examine the extent to which our procedures are capable of repairing the flaw. We find that, for this purpose, our procedures are superior to the existing `Harshlight' procedure.

Keywords: flaws; oligonucleotide arrays; visualisation (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2202/1544-6115.1383 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:sagmbi:v:7:y:2008:i:1:n:29

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/sagmb/html

DOI: 10.2202/1544-6115.1383

Access Statistics for this article

Statistical Applications in Genetics and Molecular Biology is currently edited by Michael P. H. Stumpf

More articles in Statistical Applications in Genetics and Molecular Biology from De Gruyter
Bibliographic data for series maintained by Peter Golla ().