Statistical Inference from Multiscale Biological Data: theory, algorithms, applications

Información del proyecto

SIMBAD

Identificador del acuerdo de subvención: 101131463

DOI

10.3030/101131463

Fecha de la firma de la CE 20 Octubre 2023

Fecha de inicio 1 Diciembre 2023

Fecha de finalización 30 Noviembre 2027

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 740 600,00

Coordinado por

POLITECNICO DI TORINO
Italy

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Other (2)

International Workshop

An International Workshop focusing on SIMBAD's core topics, including —but not limited to— sequence-fitness landscapes, experimental evolution, pathogen evolution, optimality and tradeoffs in cell growth, origin and consequences of cell-to-cell diversity, quantitative laws for cell communities, inverse modelling epidemic networks, models of epidemic risk, advanced survival analysis models, biological design principles, mathematical approaches to inverse modelling

International School & Workshop

An international workshop allowing to share SIMBAD results with academic audiences and the broader public (via targeted events like public talks, sessions or round tables that will be organised within the meetings), and an international School providing extra training for young researchers. The School will be open to PhD students and postdocs outside SIMBAD, and will include specific time slots for fosteringing interactions and joint projects. Core topics will be quantitative studies (theoretical, computational and experimental) at the physics-biology interface, including —but not limited to— sequence-fitness landscapes, experimental evolution, pathogen evolution, optimality and tradeoffs in cell growth, origin and consequences of cell-to-cell diversity, quantitative laws for cell communities, inverse modelling epidemic networks, models of epidemic risk, advanced survival analysis models, biological design principles, mathematical approaches to inverse modelling.

Websites, patent fillings, videos etc. (1)

Project Website

Project website

Documents, reports (1)

Dissemination and Exploitation Plan

Data Management Plan (1)

Data Management Plan

Publicaciones

Peer reviewed articles (10)

Nonequilibrium steady-state dynamics of Markov processes on graphs

Autores: Stefano Crotti, Thomas Barthel, Alfredo Braunstein
Publicado en: SciPost Physics, Edición 19, 2025, ISSN 2542-4653
Editor: Stichting SciPost
DOI: 10.21468/SCIPOSTPHYS.19.2.045

Evolutionary emergent metabolic interactions in cell cultures: A statistical mechanics point of view

Autores: A. R. Batista-Tomás, C. Díaz-Faloh, R. Mulet
Publicado en: Physical Review E, Edición 112, 2025, ISSN 2470-0045
Editor: American Physical Society (APS)
DOI: 10.1103/DM8R-HZMK

Controllable protein design via autoregressive direct coupling analysis conditioned on principal components

Autores: Francesco Caredda; Lisa Gennai; Paolo De Los Rios; Andrea Pagnani
Publicado en: PLOS Computational Biology, 2025
Editor: PLOS
DOI: 10.1101/2025.08.18.669886

The advantage of periodic over constant signalling in microRNA-mediated regulation

Autores: Elsi Ferro, Candela L Szischik, Alejandra C Ventura, Carla Bosia
Publicado en: Nucleic Acids Research, ISSN 1362-4962
Editor: Oxford Academic
DOI: 10.1101/2024.04.18.590057V1.FULL.PDF

Practical debiasing with the Covariant Prior in the proportional regime when <i>p</i> &lt; <i>n</i>

Autores: Emanuele Massa, Anthony C C Coolen
Publicado en: Journal of Physics Communications, Edición 9, 2025, ISSN 2399-6528
Editor: IOP Publishing
DOI: 10.1088/2399-6528/ADD2CD

Cross-feeding percolation phase transitions of intercellular metabolic networks

Autores: Luís C. F. Latoski, Andrea De Martino, Daniele De Martino
Publicado en: Science Advances, Edición 11, 2025, ISSN 2375-2548
Editor: American Association for the Advancement of Science (AAAS)
DOI: 10.1126/SCIADV.ADV8216

Metabolic coordination and phase transitions in spatially distributed multi-cellular systems

Autores: Krishnadev Narayanankutty, José Antonio Pereiro-Morejon, Arián Ferrero-Fernández, Valentina Onesto, Stefania Forciniti, Loretta L. del Mercato, Roberto Mulet, Andrea De Martino, David S. Tourigny, Daniele De Martino
Publicado en: Communications Physics, Edición 8, 2025, ISSN 2399-3650
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S42005-025-02133-X

Decoding cancer dynamics: Hypergraph analysis of stem cell marker interactions through O-information and community detection

Autores: David H. Margarit, Marcela V. Reale, Gustavo Paccosi, Lilia M. Romanelli
Publicado en: Physical Review E, Edición 111, 2025, ISSN 2470-0045
Editor: American Physical Society (APS)
DOI: 10.1103/PHYSREVE.111.054410

Unveiling cancer stem cell marker networks: A hypergraph approach

Autores: David H. Margarit, Gustavo Paccosi, Marcela V. Reale, Lilia M. Romanelli
Publicado en: Computational Biology and Chemistry, Edición 120, 2025, ISSN 1476-9271
Editor: Elsevier BV
DOI: 10.1016/J.COMPBIOLCHEM.2025.108684

SYSTEM VARIABLE REDUCTION AND GLOBAL SENSITIVITY ANALYSIS FOR A COMPLEX MODEL OF CANCER CELL DIFFERENTIATION

Autores: DAVID H. MARGARIT, GUSTAVO PACCOSI, ANDREA PAGNANI, MARCELA V. REALE, ARIEL F. SCAGLIOTTI, LILIA M. ROMANELLI
Publicado en: Journal of Biological Systems, Edición 33, 2025, ISSN 0218-3390
Editor: World Scientific Pub Co Pte Ltd
DOI: 10.1142/S021833902550007X