Luca De Sano

According to our database, Luca De Sano authored at least 7 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data.

Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna

BMC Bioinform., 2019

cyTRON and cyTRON/JS: Two Cytoscape-Based Applications for the Inference of Cancer Evolution Models.

Lucrezia Patruno, Edoardo Galimberti, Daniele Ramazzotti, Giulio Caravagna, Luca De Sano, Marco Antoniotti, Alex Graudenzi

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2017

Learning mutational graphs of individual tumor evolution from multi-sample sequencing data.

Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna

CoRR, 2017

SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning.

Bo Wang, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou

CoRR, 2017

2016

Design of the TRONCO BioConductor Package for TRanslational ONCOlogy.

Marco Antoniotti, Giulio Caravagna, Luca De Sano, Alex Graudenzi, Giancarlo Mauri, Bud Mishra, Daniele Ramazzotti

R J., 2016

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

Bioinform., 2016

2015

Automatising the analysis of stochastic biochemical time-series.

Giulio Caravagna, Luca De Sano, Marco Antoniotti

BMC Bioinform., 2015