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An effective framework for reconstructing gene regulatory networks from genetical genomics data.

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons86287

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons96175

Heise,  Sandra
Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/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;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86189

Klamt,  Steffen
Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Citation

Flassig, R., Heise, S., Sundmacher, K., & Klamt, S. (2013). An effective framework for reconstructing gene regulatory networks from genetical genomics data. Bioinformatics, 29(2), 246-254. doi:10.1093/bioinformatics/bts679.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-881A-D
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