<p>PySCNet: A tool for reconstructing and analyzing gene regulatory network from single-cell RNA-Seq data</p>

Ming Wu; Kristiyan Kanev; Patrick Roelli; Dietmar Zehn

doi:10.7490/f1000research.1117280.1

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Wu M, Kanev K, Roelli P and Zehn D. PySCNet: A tool for reconstructing and analyzing gene regulatory network from single-cell RNA-Seq data [version 1; not peer reviewed]. F1000Research 2019, 8(ISCB Comm J):1359 (poster) (https://doi.org/10.7490/f1000research.1117280.1)

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PySCNet: A tool for reconstructing and analyzing gene regulatory network from single-cell RNA-Seq data

Ming Wu¹, Kristiyan Kanev, Patrick Roelli, Dietmar Zehn

Published 05 Aug 2019 (https://doi.org/10.7490/f1000research.1117280.1)

Author Affiliations

¹ Technical University of Munich, Germany

Copyright © 2019 Wu M 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 05 Aug 2019

PySCNet: A tool for reconstructing and analyzing gene regulatory network from single-cell RNA-Seq data
[version 1; not peer reviewed]

Ming Wu¹, Kristiyan Kanev, Patrick Roelli, Dietmar Zehn

Author Affiliations

¹ Technical University of Munich, Germany

Presented at

ISMB/ECCB 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Gene Regulatory Network, Single-cell RNA-seq, Automated Machine Learning

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