Modelling and quality assessment of spots in digital images - With application to DNA microarrays
Publication details
Journal : Chemometrics and Intelligent Laboratory Systems , vol. 98 , p. 10–23 , 2009
International Standard Numbers
:
Printed
:
0169-7439
Electronic
:
1873-3239
Publication type : Academic article
Issue : 1
Links
:
DOI
:
doi.org/10.1016/j.chemolab.200...
SAMMENDRAG
:
http://dx.doi.org/doi:10.1016/...
OMTALE
:
http://dx.doi.org/doi:10.1016/...
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Kjetil Aune
Chief Librarian
kjetil.aune@nofima.no
Summary
Based on a recently developed spot segmentation method, we here present a new approach to modelling of individual spots in digital images, e.g. images of DNA microarrays. From the model parameter estimates and residuals we have developed an expedient approach to automatic quality assessment and identification of corrupted spots. The suggested approach to quality control is shown to give a statistically significant decrease of the variance in gene expression log-ratio estimates for three different DNA microarray datasets. (C) 2009 Published by Elsevier B.V.