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Journal Article

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

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

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

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

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

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

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