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TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data
Luca De Sano, Giulio Caravagna, Daniele Ramazzotti, Alex Graudenzi, Giancarlo Mauri, Bud Mishra, Marco Antoniotti
doi: https://doi.org/10.1101/027474
Luca De Sano
1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
Giulio Caravagna
1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
Daniele Ramazzotti
1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
Alex Graudenzi
1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
2Institute of Molecular Bioimaging and Physiology of the Italian National Research Council (IBFM-CNR), Milan, Italy.
Giancarlo Mauri
1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
Bud Mishra
3Courant Institute of Mathematical Sciences, New York University, New York, USA.
Marco Antoniotti
1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
4Milan Center for Neuroscience, University of Milan-Bicocca, Italy.
Article usage
Posted December 23, 2015.
TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data
Luca De Sano, Giulio Caravagna, Daniele Ramazzotti, Alex Graudenzi, Giancarlo Mauri, Bud Mishra, Marco Antoniotti
bioRxiv 027474; doi: https://doi.org/10.1101/027474
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