Description
Book Synopsis.- Boolean Networks.
.- Computation of immediate neighbours of monotone Boolean functions.
.- Three-State Gene Expression Model Parameterized for Single-Cell Multi-Omics Data.
.- On Model Reductions of Boolean Networks.
.- AEON 2025: Robust Control of Partially-Specified Boolean Networks (tool paper).
.- Looking for Signs: Reasoning About FOBNNs Using SAT.
.- Continuous Petri Nets Faithfully Fluidify Most Permissive Boolean Networks.
.- Continuous and Hybrid models.
.- Efficient stochastic simulation of gene regulatory networks using hybrid models of transcriptional bursting.
.- Exploring Metastable Dynamics of Gene Regulatory Networks with ISOKANN.
.- Rule-based models.
.- Reachability Analysis for Parametric Rule-Based Models.
.- A rule-based modeling approach for studying animal collectives: a case study of juvenile honeybee thermotaxis.
.- A Formal Approach to Identify Structural Patterns in RNA.
.- Model inference and machine learning.
.- Kolmogorov-Arnold Network for Gene Regulatory Network Inference.
.- Optimal input design for model selection in systems with cell-to-cell variability.
.- Decoding Gene Regulation in Alzheimer’s disease with Transfer Learning and Explainable Machine Learning.
.- Influence Graphs of Phytoplankton Species Interactions using Logical Learning.
.- Evaluating PDE discovery methods for multiscale modeling of biological signals.
.- Optimizing Feature Extraction Methods using Class Similarity Ratio for EMG-based Hand Gesture Classification.
.- Population models and control.
.- Eukaryotic ancestry in a finite world.
.- Minimal metabolic exchanges for microbial communities in a chemostat at steady state.
.- Seed inference in interacting microbial communities using combinatorial optimization.
.- A model-free control strategy for selective disruption of parkinsonian brain oscillations.
