activity
20092019
most citedParallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models

10 citations · 22 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2019★ 1 cited

USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

Leonardo Rundo, Changhee Han, Yudai Nagano +12

Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, th…

q-bio.GN2018

GenHap: A Novel Computational Method Based on Genetic Algorithms for Haplotype Assembly

Andrea Tangherloni, Simone Spolaor, Leonardo Rundo +6

The computational problem of inferring the full haplotype of a cell starting from read sequencing data is known as haplotype assembly, and consists in assigning all heterozygous Si…

cs.LG2018

Investigating the performance of multi-objective optimization when learning Bayesian Networks

Paolo Cazzaniga, Marco S. Nobile, Daniele Ramazzotti

Bayesian Networks have been widely used in the last decades in many fields, to describe statistical dependencies among random variables. In general, learning the structure of such…

cs.LG2017★ 10 cited

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

Daniele Ramazzotti, Marco S. Nobile, Paolo Cazzaniga +2

The emergence and development of cancer is a consequence of the accumulation over time of genomic mutations involving a specific set of genes, which provides the cancer clones with…

cs.CE2013★ 2 cited

GPU-powered Simulation Methodologies for Biological Systems

Daniela Besozzi, Giulio Caravagna, Paolo Cazzaniga +3

The study of biological systems witnessed a pervasive cross-fertilization between experimental investigation and computational methods. This gave rise to the development of new met…

cs.CE2010★ 4 cited

An Analysis on the Influence of Network Topologies on Local and Global Dynamics of Metapopulation Systems

Daniela Besozzi, Paolo Cazzaniga, Dario Pescini +1

Metapopulations are models of ecological systems, describing the interactions and the behavior of populations that live in fragmented habitats. In this paper, we present a model of…

q-bio.MN2009★ 5 cited

A study on the combined interplay between stochastic fluctuations and the number of flagella in bacterial chemotaxis

Daniela Besozzi, Paolo Cazzaniga, Matteo Dugo +2

The chemotactic pathway allows bacteria to respond and adapt to environmental changes, by tuning the tumbling and running motions that are due to clockwise and counterclockwise rot…