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Modeling cumulative biological phenomena with Suppes-Bayes Causal
  Networks
v1v2v3v4 (latest)

Modeling cumulative biological phenomena with Suppes-Bayes Causal Networks

25 February 2016
Daniele Ramazzotti
Alex Graudenzi
G. Caravagna
M. Antoniotti
ArXiv (abs)PDFHTML

Papers citing "Modeling cumulative biological phenomena with Suppes-Bayes Causal Networks"

4 / 4 papers shown
Title
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
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
Daniele Ramazzotti
Marco S. Nobile
P. Cazzaniga
G. Mauri
M. Antoniotti
36
7
0
08 Mar 2017
PMCE: efficient inference of expressive models of cancer evolution with
  high prognostic power
PMCE: efficient inference of expressive models of cancer evolution with high prognostic power
Fabrizio Angaroni
Kevin Chen
Chiara Damiani
G. Caravagna
Alex Graudenzi
Daniele Ramazzotti
59
9
0
26 Aug 2014
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