<p><i>In-silico a</i>pproaches for estimating transcription factor activity</p>

Saskia Trescher; Jannes  Münchmeyer; Christopher Schiefer; Ulf Leser

doi:10.7490/f1000research.1113075.1

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Trescher S, Münchmeyer J, Schiefer C and Leser U. In-silico approaches for estimating transcription factor activity [version 1; not peer reviewed]. F1000Research 2016, 5:2240 (poster) (https://doi.org/10.7490/f1000research.1113075.1)

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In-silico approaches for estimating transcription factor activity

Saskia Trescher¹, Jannes Münchmeyer, Christopher Schiefer, Ulf Leser

Published 06 Sep 2016 (https://doi.org/10.7490/f1000research.1113075.1)

Author Affiliations

¹ Humboldt University of Berlin, Germany

Copyright © 2016 Trescher S et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 06 Sep 2016

In-silico approaches for estimating transcription factor activity
[version 1; not peer reviewed]

Saskia Trescher¹, Jannes Münchmeyer, Christopher Schiefer, Ulf Leser

Author Affiliations

¹ Humboldt University of Berlin, Germany

Presented at

15th European Conference on Computational Biology (ECCB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Gene regulation, regulatory network, systems biology, mathematical optimization

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In-silico approaches for estimating transcription factor activity

In-silico approaches for estimating transcription factor activity [version 1; not peer reviewed]

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In-silico approaches for estimating transcription factor activity
[version 1; not peer reviewed]