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Parallel Implementation of Efficient Search Schemes for the Inference of
  Cancer Progression Models

Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models

8 March 2017
Daniele Ramazzotti
Marco S. Nobile
P. Cazzaniga
G. Mauri
M. Antoniotti
ArXiv (abs)PDFHTML

Papers citing "Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models"

3 / 3 papers shown
Title
Investigating the performance of multi-objective optimization when
  learning Bayesian Networks
Investigating the performance of multi-objective optimization when learning Bayesian Networks
P. Cazzaniga
Marco S. Nobile
Daniele Ramazzotti
16
1
0
03 Aug 2018
Learning mutational graphs of individual tumour evolution from
  single-cell and multi-region sequencing data
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data
Daniele Ramazzotti
Alex Graudenzi
Luca De Sano
M. Antoniotti
G. Caravagna
63
10
0
04 Sep 2017
Efficient computational strategies to learn the structure of
  probabilistic graphical models of cumulative phenomena
Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena
Daniele Ramazzotti
Marco S. Nobile
M. Antoniotti
Alex Graudenzi
CML
43
4
0
08 Mar 2017
1