MaBoSS 2.0: an environment for stochastic Boolean modeling.
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Table of contents
- Logic Modeling in Quantitative Systems Pharmacology
- Personalization of Logical Models With Multi-Omics Data Allows Clinical Stratification of Patients
- Patient-specific Boolean models of signalling networks guide personalised treatments
- Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancers
- Conceptual and computational framework for logical modelling of biological networks deregulated in diseases
- Mathematical Modelling of Molecular Pathways Enabling Tumour Cell Invasion and Migration
- Hybrid Epithelial-Mesenchymal Phenotypes Are Controlled by Microenvironmental Factors
- A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle
- A Clb/Cdk1-mediated regulation of Fkh2 synchronizes CLB expression in the budding yeast cell cycle