English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Single-cell analysis and stochastic modelling unveil large cell-to-cell variability in influenza A virus infection

MPS-Authors
/persons/resource/persons86179

Heldt,  Frank S.
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons185714

Kupke,  Sascha Young
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86592

Dorl,  Sebastian
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86291

Frensing,  Timo
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

/persons/resource/persons86448

Reichl,  Udo
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

2228630_heldt.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Heldt, F. S., Kupke, S. Y., Dorl, S., Frensing, T., & Reichl, U. (2015). Single-cell analysis and stochastic modelling unveil large cell-to-cell variability in influenza A virus infection. Nature Communications, 6: 8938. doi:10.1038/ncomms9938.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0029-1A2E-C
Abstract
There is no abstract available