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regNet

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Predicts the impact of gene expression alterations on user-defined target genes. regNet is an R package that (i) learns a regulatory network from a large collection of paired gene expression and copy number profiles and (ii) utilizes this network to quantify impacts of sample-specific gene expression changes on other clinically relevant target genes using network propagation. This enables to identify potential key drivers.

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regNet versioning

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regNet classification

regNet specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Requirements:
devtools, glmnet, Matrix, lars, covTest
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Stability:
Stable

regNet support

Maintainer

  • Michael Seifert <>

Credits

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Publications

Institution(s)

Carl Gustav Carus Faculty of Medicine, Technische Universit├Ąt Dresden, Institute for Medical Informatics and Biometry, Dresden, Germany; National Center for Tumor Diseases (NCT), Dresden, Germany; Institute of Molecular Systems Biology, Zurich, Switzerland; Cellular Networks and Systems Biology, CECAD, University of Cologne, Cologne, Germany

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