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CAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional Data
Daniele Ramazzotti, Giulio Caravagna, Loes Olde Loohuis, Alex Graudenzi, Ilya Korsunsky, Giancarlo Mauri, Marco Antoniotti, Bud Mishra
doi: https://doi.org/10.1101/008110
Daniele Ramazzotti
1Dept. of Informatics, Systems and Communication, University of Milan Bicocca, Milan, Italy
Giulio Caravagna
1Dept. of Informatics, Systems and Communication, University of Milan Bicocca, Milan, Italy
Loes Olde Loohuis
2Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, USA
Alex Graudenzi
1Dept. of Informatics, Systems and Communication, University of Milan Bicocca, Milan, Italy
Ilya Korsunsky
3Courant Institute of Mathematical Sciences, New York University, New York, USA
Giancarlo Mauri
1Dept. of Informatics, Systems and Communication, University of Milan Bicocca, Milan, Italy
Marco Antoniotti
1Dept. of Informatics, Systems and Communication, University of Milan Bicocca, Milan, Italy
Bud Mishra
3Courant Institute of Mathematical Sciences, New York University, New York, USA
Article usage
Posted May 07, 2015.
CAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional Data
Daniele Ramazzotti, Giulio Caravagna, Loes Olde Loohuis, Alex Graudenzi, Ilya Korsunsky, Giancarlo Mauri, Marco Antoniotti, Bud Mishra
bioRxiv 008110; doi: https://doi.org/10.1101/008110
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