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Hypothesis-driven approach to predict transcriptional units from gene expression data

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Steinhauser,  D.
Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;
Systems Metabolomics, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Luedemann,  A.
Plant Molecular Chaperone Networks and Stress, Cooperative Research Groups, 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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Kopka,  J.
Applied Metabolome Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Steinhauser, D., Junker, B. H., Luedemann, A., Selbig, J., & Kopka, J. (2004). Hypothesis-driven approach to predict transcriptional units from gene expression data. Bioinformatics, 20(12), 1928-1939. doi:10.1093/bioinformatics/bth182.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-2C71-B
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