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

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.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0005-F34C-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-F34D-3

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Creators:
Zyla, Joanna¹, Author
Marczyk, Michal, Author
Domaszewska, Teresa¹, Author
Kaufmann, Stefan H. E.¹, Author
Polanska, Joanna, Author
Weiner, January 3rd¹, Author

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1Department of Immunology, Max Planck Institute for Infection Biology, Max Planck Society, ou_1664146

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Language(s): eng - English

Dates: Published in Print: 2019-12-15

Publication Status: Published in print

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Identifiers: DOI: 10.1093/bioinformatics/btz447
Other: Immediate Open Access

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Title: Bioinformatics

Source Genre: Journal

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Publ. Info: Oxford : Oxford University Press

Pages: - Volume / Issue: 35 (24) Sequence Number: - Start / End Page: 5146 - 5154 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991