Published August 1, 2017
| Version v1
Poster
Open
Quantitative virtual infection modeling in sepsis
Authors/Creators
-
1.
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
-
2.
Friedrich Schiller University Jena
Contributors
Researcher (3):
-
1.
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
- 2. Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Friedrich Schiller University Jena, Germany
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2017_09_07_quantitative_virtual_infection_modeling_of_sepsis_alexander_tille.pdf
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Additional details
Related works
- Is described by
- Journal article: 10.1371/journal.pcbi.1003479 (DOI)
- Journal article: 10.3389/fmicb.2015.00608 (DOI)