User profiles for Elias Ventre

Elias Ventre

Postdoctoral fellow, UBC
Verified email at ens-lyon.fr
Cited by 42

[HTML][HTML] Reverse engineering of a mechanistic model of gene expression using metastability and temporal dynamics

E Ventre - In Silico Biology, 2021 - content.iospress.com
Differentiation can be modeled at the single cell level as a stochastic process resulting from
the dynamical functioning of an underlying Gene Regulatory Network (GRN), driving stem or …

Reduction of a stochastic model of gene expression: Lagrangian dynamics gives access to basins of attraction as cell types and metastabilty

E Ventre, T Espinasse, CE Bréhier, V Calvez… - Journal of Mathematical …, 2021 - Springer
Differentiation is the process whereby a cell acquires a specific phenotype, by differential
gene expression as a function of time. This is thought to result from the dynamical functioning …

[HTML][HTML] Evidence for close molecular proximity between reverting and undifferentiated cells

…, E Vallin, L Modolo, R Seraphin, A Moussy, E Ventre… - BMC biology, 2022 - Springer
Background According to Waddington’s epigenetic landscape concept, the differentiation
process can be illustrated by a cell akin to a ball rolling down from the top of a hill (proliferation …

[HTML][HTML] One model fits all: combining inference and simulation of gene regulatory networks

E Ventre, U Herbach, T Espinasse… - PLoS Computational …, 2023 - journals.plos.org
The rise of single-cell data highlights the need for a nondeterministic view of gene expression,
while offering new opportunities regarding gene regulatory network inference. We …

Analysis, calibration and evaluation of stochastic models of gene expression

E Ventre - 2022 - theses.hal.science
Differentiation is the process by which a cell acquires a specific phenotype, through the
expression of genes over time. It is now widely accepted that these dynamics results from the …

Convergence of the Sinkhorn algorithm when the Schr\" odinger problem has no solution

A Baradat, E Ventre - arXiv preprint arXiv:2207.02977, 2022 - arxiv.org
The Sinkhorn algorithm is the most popular method for solving the entropy minimization
problem called the Schr\"odinger problem: in the non-degenerate cases, the latter admits a …

Trajectory inference for a branching SDE model of cell differentiation

E Ventre, A Forrow, N Gadhiwala… - arXiv preprint arXiv …, 2023 - arxiv.org
A core challenge for modern biology is how to infer the trajectories of individual cells from
population-level time courses of high-dimensional gene expression data. Birth and death of …

A traffic-aware channel re-assignment algorithm for wireless mesh networks

S Avallone, FP D'Elia, G Ventre - 2010 European Wireless …, 2010 - ieeexplore.ieee.org
Channel assignment is among the most challenging issues for multi-radio wireless mesh
networks, given the variety of objectives that can be pursued and the computational complexity …

A new channel, power and rate assignment algorithm for multi-radio wireless mesh networks

S Avallone, FP D'Elia, G Ventre - Telecommunication Systems, 2012 - Springer
Endowing mesh routers with multiple radios is a recent solution to improve the performance
of wireless mesh networks. The consequent problem to assign channels to radios has been …

Layer-2.5 routing in multi-radio wireless mesh networks

S Avallone, FP D'Elia, G Ventre - … on Sensor, Mesh and Ad Hoc …, 2009 - ieeexplore.ieee.org
The availability of cost-effective wireless network interface cards has recently made it
possible to equip wireless mesh routers with multiple interfaces. The problem how to assign …