activity
20162023
most citedDeep generative selection models of T and B cell receptor repertoires with soNNia

100 citations · 211 across the 7 of their papers we have counts for

collaborators

9 papers

q-bio.QM2023

Variability in the local and global composition of human T-cell receptor repertoires during thymic development across cell types and individuals

Giulio Isacchini, Valentin Quiniou, Hélène Vantomme +6

The adaptive immune response relies on T cells that combine phenotypic specialization with diversity of T cell receptors (TCRs) to recognize a wide range of pathogens. TCRs are acq…

cs.LG2021

MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories

Giulio Isacchini, Natanael Spisak, Armita Nourmohammad +2

Simulation-based inference enables learning the parameters of a model even when its likelihood cannot be computed in practice. One class of methods uses data simulated with differe…

q-bio.PE2020★ 100 cited

Deep generative selection models of T and B cell receptor repertoires with soNNia

Giulio Isacchini, Aleksandra M Walczak, Thierry Mora +1

Subclasses of lymphocytes carry different functional roles to work together to produce an immune response and lasting immunity. Additionally to these functional roles, T and B-cell…

q-bio.GN2020

Dynamics of B-cell repertoires and emergence of cross-reactive responses in COVID-19 patients with different disease severity

Zachary Montague, Huibin Lv, Jakub Otwinowski +12

COVID-19 patients show varying severity of the disease ranging from asymptomatic to requiring intensive care. Although a number of SARS-CoV-2 specific monoclonal antibodies have be…

cond-mat.dis-nn2020

A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons

Gabriel Mahuas, Giulio Isacchini, Olivier Marre +2

Generalized linear models are one of the most efficient paradigms for predicting the correlated stochastic activity of neuronal networks in response to external stimuli, with appli…

q-bio.GN2020★ 5 cited

SOS: Online probability estimation and generation of T and B cell receptors

Giulio Isacchini, Carlos Olivares, Armita Nourmohammad +2

Recent advances in modelling VDJ recombination and subsequent selection of T and B cell receptors provide useful tools to analyze and compare immune repertoires across time, indivi…

q-bio.PE2020★ 69 cited

Population variability in the generation and thymic selection of T-cell repertoires

Zachary Sethna, Giulio Isacchini, Thomas Dupic +3

The diversity of T-cell receptor (TCR) repertoires is achieved by a combination of two intrinsically stochastic steps: random receptor generation by VDJ recombination, and selectio…

q-bio.QM2019★ 12 cited

On generative models of T-cell receptor sequences

Giulio Isacchini, Zachary Sethna, Yuval Elhanati +3

T-cell receptors (TCR) are key proteins of the adaptive immune system, generated randomly in each individual, whose diversity underlies our ability to recognize infections and mali…

econ.GN2016★ 25 cited

A Markovian Model of the Evolving World Input-Output Network

Vahid Moosavi, Giulio Isacchini

The initial theoretical connections between Leontief input-output models and Markov chains were established back in 1950s. However, considering the wide variety of mathematical pro…