Metabolite fingerprinting: detecting biological features by independent 
component analysis

Scholz, M.; Gatzek, S.; Sterling, A.; Fiehn, O.; Selbig, J.

doi:10.1093/bioinformatics/bth270

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Metabolite fingerprinting: detecting biological features by independent component analysis

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Scholz, M.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Fiehn, O.
Metabolomic Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Selbig, J.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Scholz, M., Gatzek, S., Sterling, A., Fiehn, O., & Selbig, J. (2004). Metabolite fingerprinting: detecting biological features by independent component analysis. Bioinformatics, 20(15), 2447-2454. doi:10.1093/bioinformatics/bth270.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-2C7C-6