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:10.1101/027474

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`TRONCO`: an R package for the inference of cancer progression models from heterogeneous genomic data

Luca De Sano, Giulio Caravagna, View ORCID ProfileDaniele 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

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Giulio Caravagna

1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

2School of Informatics, University of Edinburgh, Edinburgh, UK

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Daniele Ramazzotti

1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

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ORCID record for Daniele Ramazzotti

Alex Graudenzi

1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

3Institute of Molecular Bioimaging and Physiology of the Italian National Research Council (IBFM-CNR), Milan, Italy

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Giancarlo Mauri

1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

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Bud Mishra

4Courant Institute of Mathematical Sciences, New York University, New York, USA

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Marco Antoniotti

1Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

5Milan Center for Neuroscience, University of Milan-Bicocca, Italy

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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

bioRxiv 027474; doi: https://doi.org/10.1101/027474

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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

bioRxiv 027474; doi: https://doi.org/10.1101/027474

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