Gene set enrichment for reproducible science: comparison of CERNO and eight 
other algorithms

Zyla, Joanna; Marczyk, Michal; Domaszewska, Teresa; Kaufmann, Stefan H. E.; Polanska, Joanna; Weiner, January 3rd

doi:10.1093/bioinformatics/btz447

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Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms

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Zyla, Joanna
Department of Immunology, Max Planck Institute for Infection Biology, Max Planck Society;

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Domaszewska, Teresa
Department of Immunology, Max Planck Institute for Infection Biology, Max Planck Society;

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Kaufmann, Stefan H. E.
Department of Immunology, Max Planck Institute for Infection Biology, Max Planck Society;

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Weiner, January 3rd
Department of Immunology, Max Planck Institute for Infection Biology, Max Planck Society;

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Bioinformatics_2019_35_5146.pdf
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Zyla, J., Marczyk, M., Domaszewska, T., Kaufmann, S. H. E., Polanska, J., & Weiner, J. 3. (2019). Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms. Bioinformatics, 35(24), 5146-5154. doi:10.1093/bioinformatics/btz447.

Cite as: https://hdl.handle.net/21.11116/0000-0005-F34C-4

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