English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Combining Transcription Factor Binding Affinities with Open-Chromatin Data for Accurate Gene Expression Prediction

MPS-Authors
/persons/resource/persons188328

Schmidt,  Florian
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44364

Ebert,  Peter
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons199442

Dheghani Amirabad,  Azim
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons201652

Behjati Ardakani,  Fatemeh
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44907

Lengauer,  Thomas
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons127666

Schulz,  Marcel H.
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
Supplementary Material (public)
There is no public supplementary material available
Citation

Schmidt, F., Gasparoni, N., Gasparoni, G., Gianmoena, K., Cadenas, C., Polansky, J. K., et al. (2017). Combining Transcription Factor Binding Affinities with Open-Chromatin Data for Accurate Gene Expression Prediction. Nucleic Acids Research, 45(1), 54-66. doi:10.1093/nar/gkw1061.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002C-378F-F
Abstract
There is no abstract available