Accepted contributions
Boolean and Qualitative Networks
- Source-Target Control of Boolean Networks with Minimal Edge Perturbations
Gustavo Magaña-López, Andrzej Mizera, and Jun Pang
- Modulation-Reaction Networks
Leo Lobski and Yoàv Montacute
- Inference of qualitative models from steady-state data via weighted MaxSMT
Ondřej Huvar, Nikola Beneš, Martin Jonáš, David Šafránek, and Samuel Pastva
- pyModRev: a Python Tool for Model Revision of Boolean Networks #tool-paper
Pedro T. Monteiro and Filipe Gouveia
Rule-Based and Stochastic Models
- Statistical model checking for rule-based models in the Kappa language
Albin Salazar, Jérôme Feret, and Tatjana Petrov
- Efficient Stochastic Trace Generation for Transcription
Arman Ferdowsi, Matthias Függer, and Thomas Nowak
- Mamdani-Driven Fuzzy Reaction Systems
Linda Brodo, Moreno Falaschi, Fiamma Romagnoli, and Elisa B.P. Tiezzi
- Incremental Kasa: Static Analysis of Kappa Models at Edit Time #tool-paper
Rebecca Ghidini and Jérôme Feret
Constraint-Based Modeling and Molecular Computation
- Inferring Minimal Culture Media using Biologically Constrained Combinatorial Optimization
Moana Aulagner, Samuel Blanquart, and Anne Siegel
- On the Design of an Analog-Dyadic Converter CRN
Mathieu Hemery
- Analog computation with transcriptional networks
David Doty, Mina Latifi, and David Soloveichik
- Metabolic Transformation Algorithm: A Systems Biology Approach to Aging and Alzheimer’s Disease
Bruno Sá, Catarina Gomes, and Miguel Rocha
Causal Inference and Multi-Omics Integration
- Metabolic Flux Inference in a Cheese Microbial Community via comFI: a Biology-informed Approach for Time-resolved Multi-omics Integration
Sthyve Tatho, Valentina Baldazzi, and Simon Labarthe
- GRNgen: a Generator of Gene Regulatory Networks Fitting Graph and Motif Properties
Alexandre Tan-Lhernould, Thierry Dorval, and François Fages
- Consensus Enhances Individual Causal Models: a Use Case on Lung Cancer Driven by Cellular Pathways
Arnaud Lang, Rodrigo Henrique Ramos, Safaa Al-Ali, Mohammadreza Mousavi, Anna Calissano, and Irene Balelli
- Graph Learning Models for Temporal Gene Expression Prediction and the Role of Interactions Topology
Alessandro Dipalma, Alessio Micheli, Paolo Milazzo, Francesco Simonetti, and Domenico Tortorella
- Multi-view clustering of transcriptomics and methylomics data elucidates glioma molecular stratification
Carolina Pé-Curto, Roberta Coletti, and Marta B. Lopes