Quantitative quality control in microarray image processing and data acquisition.

Abstract:

:A new integrated image analysis package with quantitative quality control schemes is described for cDNA microarray technology. The package employs an iterative algorithm that utilizes both intensity characteristics and spatial information of the spots on a microarray image for signal-background segmentation and defines five quality scores for each spot to record irregularities in spot intensity, size and background noise levels. A composite score q(com) is defined based on these individual scores to give an overall assessment of spot quality. Using q(com) we demonstrate that the inherent variability in intensity ratio measurements is closely correlated with spot quality, namely spots with higher quality give less variable measurements and vice versa. In addition, gauging data by q(com) can improve data reliability dramatically and efficiently. We further show that the variability in ratio measurements drops exponentially with increasing q(com) and, for the majority of spots at the high quality end, this improvement is mainly due to an improvement in correlation between the two dyes. Based on these studies, we discuss the potential of quantitative quality control for microarray data and the possibility of filtering and normalizing microarray data using a quality metrics-dependent scheme.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Wang X,Ghosh S,Guo SW

doi

10.1093/nar/29.15.e75

keywords:

subject

Has Abstract

pub_date

2001-08-01 00:00:00

pages

E75-5

issue

15

eissn

0305-1048

issn

1362-4962

journal_volume

29

pub_type

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