Crowdsourced analysis of clinical trial data to predict amyotrophic lateral 
sclerosis progression

Küffner, R.; Zach , N.; Norel, R.; Hawe, J.; Schoenfeld , D.; Wang , L.; Li , G.; Fang, L.; Mackey, L.; Hardiman, O.; Cudkowicz, M.; Sherman, A.; Ertaylan, G.; Grosse-Wentrup, M.; Hothorn, T.; van Ligtenberg, J.; Macke, JH.; Meyer, T.; Schölkopf, B.; Tran, L.; Vaughan, R.; Stolovitzky, G.; Leitner, ML.

doi:10.1038/nbt.3051

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Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression

Küffner, R., Zach, N., Norel, R., Hawe, J., Schoenfeld, D., Wang, L., et al. (2015). Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression. Nature Biotechnology, 33, 51-57. doi:10.1038/nbt.3051.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-20F7-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-F4C9-D

Genre: Journal Article

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Creators:
Küffner, R.¹, Author
Zach , N.¹, Author
Norel, R.¹, Author
Hawe, J.¹, Author
Schoenfeld , D.¹, Author
Wang , L.¹, Author
Li , G.¹, Author
Fang, L.¹, Author
Mackey, L.¹, Author
Hardiman, O.¹, Author
Cudkowicz, M.¹, Author
Sherman, A.¹, Author
Ertaylan, G.¹, Author
Grosse-Wentrup, M.², Author
Hothorn, T.¹, Author
van Ligtenberg, J.¹, Author
Macke, JH.¹, Author
Meyer, T.¹, Author
Schölkopf, B.², Author
Tran, L.¹, Author
Vaughan, R.¹, AuthorStolovitzky, G.¹, AuthorLeitner, ML.¹, Author more..

Affiliations:
1External Organizations, ou_persistent22
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647

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Free keywords: Abt. Schölkopf

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Dates: Published Online: 2014-11Date issued: 2015-01

Publication Status: Issued

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Identifiers: BibTex Citekey: KuffnerZNHSWLFMHCSEGHvMMSTVSL2014
DOI: 10.1038/nbt.3051

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Title: Nature Biotechnology

Source Genre: Journal

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Publ. Info: New York : Gale Group Inc.

Pages: - Volume / Issue: 33 Sequence Number: - Start / End Page: 51 - 57 Identifier: ISSN: 1087-0156
CoNE: https://pure.mpg.de/cone/journals/resource/954926980065