Jonathan Fiorentino

发表

Independent channels for miRNA biosynthesis ensure efficient static and dynamic control in the regulation of the early stages of myogenesis.

A. De Martino, Jonathan Fiorentino, 2017, Journal of theoretical biology.

Multi-omics analysis reveals a crucial role for Retinoic Acid in promoting epigenetic and transcriptional competence of an in vitro model of human Pharyngeal Endoderm

A. Baldini, G. Tartaglia, M. Roncarolo, 2022, bioRxiv.

The PRALINE database: protein and Rna humAn singLe nucleotIde variaNts in condEnsates

G. Tartaglia, N. S. de Groot, Alexandros Armaos, 2022, bioRxiv.

STREAMLINE: Structural and Topological Performance Analysis of Algorithms for the Inference of Gene Regulatory Networks from Single-Cell Transcriptomic Data

A. Scialdone, Jonathan Fiorentino, Marco Stock, 2022 .

Prediction of Time Series Gene Expression and Structural Analysis of Gene Regulatory Networks Using Recurrent Neural Networks

E. Milanetti, G. Tartaglia, Michele Monti, 2022, Entropy.

Characterisation of the transcriptional dynamics underpinning the function, fate, and migration of the mouse Anterior Visceral Endoderm

A. Scialdone, B. Vanhaesebroeck, S. Srinivas, 2021, bioRxiv.

DNA replication fork speed underlies cell fate changes and promotes reprogramming

A. Scialdone, R. Sadreyev, J. Whetstine, 2022, Nature Genetics.

STREAMLINE: Structural and Topological Performance Analysis of Algorithms for the Inference of Gene Regulatory Networks from Single-Cell Transcriptomic Data

A. Scialdone, Jonathan Fiorentino, Marco Stock, 2022 .

The role of cell geometry and cell-cell communication in gradient sensing

A. Scialdone, Jonathan Fiorentino, 2021, bioRxiv.

Statistics of optimal information flow in ensembles of regulatory motifs.

Andrea Crisanti, A. Crisanti, Jonathan Fiorentino, 2017, Physical review. E.

Prediction of protein-RNA interactions from single-cell transcriptomic data

G. Tartaglia, Alexandros Armaos, A. Colantoni, 2023, bioRxiv.

Topological benchmarking of algorithms to infer Gene Regulatory Networks from Single-Cell RNA-seq Data

A. Scialdone, Jonathan Fiorentino, Marco Stock, 2023, bioRxiv.

Measuring and Modeling Single-Cell Heterogeneity and Fate Decision in Mouse Embryos.

A. Scialdone, M. Torres-Padilla, Jonathan Fiorentino, 2020, Annual review of genetics.

Independent channels for miRNA biosynthesis ensure efficient static and dynamic control in the regulation of the early stages of myogenesis.

A. De Martino, Jonathan Fiorentino, 2017, Journal of Theoretical Biology.

An integrated approach identifies the molecular underpinnings of murine anterior visceral endoderm migration.

S. Srinivas, Jonathan Fiorentino, Y. Mateo-Otero, 2024, Developmental cell.