English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions

MPS-Authors
/persons/resource/persons86287

Flassig,  Robert
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons127831

Migal,  Iryna
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86450

Rihko-Struckmann,  Liisa
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86497

Sundmacher,  Kai
Process Systems 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)

2079309_flassig.pdf
(Publisher version), 2MB

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

Flassig, R., Migal, I., van der Zalm, E., Rihko-Struckmann, L., & Sundmacher, K. (2015). Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions. BMC Bioinformatics, 16: 13. doi:10.1186/s12859-014-0436-5.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0024-9C4F-9
Abstract
There is no abstract available