https://doi.org/10.7490/f1000research.1113166.1
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Schmidt F, Gasparoni N, Gasparoni G et al. Combining transcription factor affinities and open chromatin data for accurate gene expression prediction [version 1; not peer reviewed]. F1000Research 2016, 5:2358 (poster) (https://doi.org/10.7490/f1000research.1113166.1)
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Combining transcription factor affinities and open chromatin data for accurate gene expression prediction

Florian Schmidt1, Nina Gasparoni, Gilles Gasparoni, Kathrin Gianmoena, Cristina Cadenas, Julia K. Polansky, Peter Ebert, Karl Nordström, Matthias Barann, Anupam Sinha, Sebastian Fröhler, Jieyi Xiong, Azim Dehghani Amirabad, Fatemeh Behjati Ardakani, Barbara Hutter, Gideon Zipprich, Bärbel Felder, Jürgen Eils, Benedikt Brors, Wei Chen, Jan G. Hengstler, Alf Hamann, Thomas Lengauer, Philip Rosenstiel, Jörn Walter, Marcel H. Schulz
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Published 23 Sep 2016

Combining transcription factor affinities and open chromatin data for accurate gene expression prediction

[version 1; not peer reviewed]

Florian Schmidt1, Nina Gasparoni, Gilles Gasparoni, Kathrin Gianmoena, Cristina Cadenas, Julia K. Polansky, Peter Ebert, Karl Nordström, Matthias Barann, Anupam Sinha, Sebastian Fröhler, Jieyi Xiong, Azim Dehghani Amirabad, Fatemeh Behjati Ardakani, Barbara Hutter, Gideon Zipprich, Bärbel Felder, Jürgen Eils, Benedikt Brors, Wei Chen, Jan G. Hengstler, Alf Hamann, Thomas Lengauer, Philip Rosenstiel, Jörn Walter, Marcel H. Schulz
Author Affiliations
1 Saarland University, Germany
Presented at
15th European Conference on Computational Biology (ECCB) 2016
Abstract
Competing Interests

No competing interests were disclosed

Keywords
transcription factors, open chromatin, gene regulation, gene expression, DNase-seq, NOMe-seq
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