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  Quantitative single cell analysis uncovers the life/death decision in CD95 network

Buchbinder, J. H., Pischel, D., Sundmacher, K., Flassig, R., & Lavrik, I. N. (2018). Quantitative single cell analysis uncovers the life/death decision in CD95 network. PLOS Computational Biology, 14(9): e1006368. doi:10.1371/journal.pcbi.1006368.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0002-6E35-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-6E3A-3
Genre: Journal Article

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© 2018 Buchbinder et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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https://creativecommons.org/licenses/by/4.0/

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 Creators:
Buchbinder, Jörn H.1, Author
Pischel, Dennis1, Author
Sundmacher, Kai1, 2, Author           
Flassig, Robert2, Author           
Lavrik, Inna N.1, Author
Affiliations:
1Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
2Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pcbi.1006368
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Title: PLOS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, California, US : PLOS
Pages: - Volume / Issue: 14 (9) Sequence Number: e1006368 Start / End Page: - Identifier: -