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DreamDMI: a tool for Disease Module Identification in molecular networks
View ORCID ProfileMattia Tomasoni, Sarvenaz Choobdar, Daniel Marbach, Sergio Gómez, Jake Crawford, Weijia Zhang, Sven Bergmann
doi: https://doi.org/10.1101/611418
Mattia Tomasoni
1Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
2Swiss Institute of Bioinformatics, Lausanne, Switzerland
Sarvenaz Choobdar
1Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
2Swiss Institute of Bioinformatics, Lausanne, Switzerland
Daniel Marbach
3Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
Sergio Gómez
4Departament d’Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain
Jake Crawford
5Department of Computer Science, Tufts University, MA, USA
6Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Weijia Zhang
7School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, Australia
Sven Bergmann
1Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
2Swiss Institute of Bioinformatics, Lausanne, Switzerland
8Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
Posted May 07, 2019.
DreamDMI: a tool for Disease Module Identification in molecular networks
Mattia Tomasoni, Sarvenaz Choobdar, Daniel Marbach, Sergio Gómez, Jake Crawford, Weijia Zhang, Sven Bergmann
bioRxiv 611418; doi: https://doi.org/10.1101/611418
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