SignalViewer: analyzing microarray images.
TL;DR: SignalViewer is developed to facilitate exploration of image data in microarray imaging and analysis packages typically require manual intervention and assumptions on alignments.
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Abstract: Summary: Microarray technology is now routinely used to monitor genome-wide expression profiles. However, current microarray imaging and analysis packages typically require manual intervention and assumptions on alignments. Unfortunately, limitations and assumptions are typically undisclosed and methods are not published. To facilitate exploration of image data, we developed SignalViewer. This paper presents a description of the application. Availability: SignalViewer is available at http://qge.fhcrc.org/
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Automatic analysis of microRNA Microarray images using Mathematical Morphology
F. Meyenhofer,O. Schaad,P. Descombes,Michel Kocher +3 more
- 22 Oct 2007
TL;DR: An automatic procedure able to analyze the micro array data and to accurately provide the level of concentration for each microRNA (miRNA) is described, leading to a more reproducible data analysis.
References
A statistically driven approach for image segmentation and signal extraction in cDNA microarrays.
TL;DR: Hurdles to overcome in image analysis of microarrays are set forth, and a method for automated grid alignment, spot detection, background estimation, flagging, and signal extraction is described based on statistical principles.
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