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

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons188328

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44364

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons199442

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons201652

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44907

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons127666

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

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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: http://hdl.handle.net/11858/00-001M-0000-002C-378F-F
Abstract
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