MASQOT: a method for cDNA microarray spot quality control. Bylesjö, M., Eriksson, D., Sjödin, A., Sjöström, M., Jansson, S., Antti, H., & Trygg, J. BMC Bioinformatics, 6(1):250, October, 2005.
MASQOT: a method for cDNA microarray spot quality control [link]Paper  doi  abstract   bibtex   
cDNA microarray technology has emerged as a major player in the parallel detection of biomolecules, but still suffers from fundamental technical problems. Identifying and removing unreliable data is crucial to prevent the risk of receiving illusive analysis results. Visual assessment of spot quality is still a common procedure, despite the time-consuming work of manually inspecting spots in the range of hundreds of thousands or more.
@article{bylesjo_masqot_2005,
	title = {{MASQOT}: a method for {cDNA} microarray spot quality control},
	volume = {6},
	issn = {1471-2105},
	shorttitle = {{MASQOT}},
	url = {https://doi.org/10.1186/1471-2105-6-250},
	doi = {10.1186/1471-2105-6-250},
	abstract = {cDNA microarray technology has emerged as a major player in the parallel detection of biomolecules, but still suffers from fundamental technical problems. Identifying and removing unreliable data is crucial to prevent the risk of receiving illusive analysis results. Visual assessment of spot quality is still a common procedure, despite the time-consuming work of manually inspecting spots in the range of hundreds of thousands or more.},
	number = {1},
	urldate = {2021-06-11},
	journal = {BMC Bioinformatics},
	author = {Bylesjö, Max and Eriksson, Daniel and Sjödin, Andreas and Sjöström, Michael and Jansson, Stefan and Antti, Henrik and Trygg, Johan},
	month = oct,
	year = {2005},
	keywords = {Classification Training, Foreground Region, Microarray Slide, Partial Little Square, Spot Quality},
	pages = {250},
}

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