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Integrative Analysis of Single-Cell Expression Data Reveals Distinct Regulatory States in Bidirectional Promoters

MPS-Authors
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Behjati Ardakani,  Fatemeh
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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Fischer,  Jonas
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 Holger
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Ardakani.pdf
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Citation

Behjati Ardakani, F., Kattler, K., Nordstroem, K., Gasparoni, N., Gasparoni, G., Fuchs, S., et al. (2018). Integrative Analysis of Single-Cell Expression Data Reveals Distinct Regulatory States in Bidirectional Promoters. Epigenetics & Chromatin, 11: 66. doi:10.1186/s13072-018-0236-7.


Cite as: http://hdl.handle.net/21.11116/0000-0002-D61C-E
Abstract
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