activity
20202023
most citedStatistical Genetics in and out of Quasi-Linkage Equilibrium (Extended)

8 citations · 8 across the 4 of their papers we have counts for

collaborators

7 papers

physics.bio-ph2023

The exploration-exploitation paradigm: a biophysical approach

Vito Dichio

This PhD thesis is essentially the story of a scientific idea, from what it has blossomed, how it has grown, what it might become. My ambition in writing has been to produce an ori…

physics.bio-ph2023

The exploration-exploitation paradigm for networked biological systems

Vito Dichio, Fabrizio De Vico Fallani

The stochastic exploration of the configuration space and the exploitation of functional states underlie many biological processes. The evolutionary dynamics stands out as a remark…

q-bio.NC2022

Statistical models of complex brain networks: a maximum entropy approach

Vito Dichio, Fabrizio De Vico Fallani

The brain is a highly complex system. Most of such complexity stems from the intermingled connections between its parts, which give rise to rich dynamics and to the emergence of hi…

q-bio.GN2021

Temporal epistasis inference from more than 3,500,000 SARS-CoV-2 Genomic Sequences

Hong-Li Zeng, Yue Liu, Vito Dichio +1

We use Direct Coupling Analysis (DCA) to determine epistatic interactions between loci of variability of the SARS-CoV-2 virus, segmenting genomes by month of sampling. We use full-…

q-bio.PE2021★ 8 cited

Statistical Genetics in and out of Quasi-Linkage Equilibrium (Extended)

Vito Dichio, Hong-Li Zeng, Erik Aurell

This review is about statistical genetics, an interdisciplinary topic between statistical physics and population biology. The focus is on the phase of quasi-linkage equilibrium (QL…

q-bio.QM2020

Global analysis of more than 50,000 SARS-Cov-2 genomes reveals epistasis between 8 viral genes

Hong-Li Zeng, Vito Dichio, Edwin Rodríguez Horta +2

Genome-wide epistasis analysis is a powerful tool to infer gene interactions, which can guide drug and vaccine development and lead to a deeper understanding of microbial pathogene…