Luca De Sano

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 7

Top Topics

Kernel Learning

Statistical Models

Bayesian Models

Top Venues

Publications

Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data. BMC Bioinform. 20 (1) (2019)
Lucrezia Patruno, Edoardo Galimberti, Daniele Ramazzotti, Giulio Caravagna, Luca De Sano, Marco Antoniotti, Alex Graudenzi
cyTRON and cyTRON/JS: Two Cytoscape-Based Applications for the Inference of Cancer Evolution Models. CIBB (2019)
Lucrezia Patruno, Edoardo Galimberti, Daniele Ramazzotti, Giulio Caravagna, Luca De Sano, Marco Antoniotti, Alex Graudenzi
cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models. CoRR (2017)
Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna
Learning mutational graphs of individual tumor evolution from multi-sample sequencing data. CoRR (2017)
Bo Wang, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou
SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning. CoRR (2017)
Luca De Sano, Giulio Caravagna, Daniele Ramazzotti, Alex Graudenzi, Giancarlo Mauri, Bud Mishra, Marco Antoniotti
TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data. Bioinform. 32 (12) (2016)
Marco Antoniotti, Giulio Caravagna, Luca De Sano, Alex Graudenzi, Giancarlo Mauri, Bud Mishra, Daniele Ramazzotti
Design of the TRONCO BioConductor Package for TRanslational ONCOlogy. R J. 8 (2) (2016)
Giulio Caravagna, Luca De Sano, Marco Antoniotti
Automatising the analysis of stochastic biochemical time-series. BMC Bioinform. 16 (S-9) (2015)