| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bioinformatics/EduatiRCTS12 |
| P356 | DOI | 10.1093/BIOINFORMATICS/BTS363 |
| P932 | PMC publication ID | 3436796 |
| P698 | PubMed publication ID | 22734019 |
| P5875 | ResearchGate publication ID | 228067241 |
| P50 | author | Javier De Las Rivas | Q30505206 |
| Julio Saez-Rodriguez | Q41044850 | ||
| Federica Eduati | Q47474737 | ||
| P2093 | author name string | Barbara Di Camillo | |
| Gianna Toffolo | |||
| P2860 | cites work | WikiPathways: pathway editing for the people | Q21092742 |
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| Reactome: a knowledgebase of biological pathways | Q24795413 | ||
| Mathematical modelling of cell-fate decision in response to death receptor engagement | Q28473094 | ||
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| The logic of EGFR/ErbB signaling: theoretical properties and analysis of high-throughput data | Q33491534 | ||
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| A Boolean approach to linear prediction for signaling network modeling | Q33700424 | ||
| Extending pathways and processes using molecular interaction networks to analyse cancer genome data | Q33767168 | ||
| Revealing strengths and weaknesses of methods for gene network inference | Q33778833 | ||
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| Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn' | Q33965489 | ||
| Dynamical and Structural Analysis of a T Cell Survival Network Identifies Novel Candidate Therapeutic Targets for Large Granular Lymphocyte Leukemia | Q34079139 | ||
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| Bayesian network analysis of signaling networks: a primer | Q36108368 | ||
| Crowdsourcing network inference: the DREAM predictive signaling network challenge | Q36300033 | ||
| Network inference using informative priors | Q36936327 | ||
| Protein networking: insights into global functional organization of proteomes | Q37093734 | ||
| Protein networks in disease | Q37125547 | ||
| Logic models of pathway biology | Q37158716 | ||
| Logic-based models for the analysis of cell signaling networks | Q37708260 | ||
| Modeling Signaling Networks Using High-throughput Phospho-proteomics | Q37967513 | ||
| How to infer gene networks from expression profiles | Q41827428 | ||
| P275 | copyright license | Creative Commons Attribution-NonCommercial 3.0 Unported | Q18810331 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 18 | |
| P407 | language of work or name | English | Q1860 |
| P1104 | number of pages | 7 | |
| P304 | page(s) | 2311-2317 | |
| P577 | publication date | 2012-06-25 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | Integrating literature-constrained and data-driven inference of signalling networks | |
| P478 | volume | 28 |
| Q36933677 | A Six-Stage Workflow for Robust Application of Systems Pharmacology |
| Q33864932 | Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines |
| Q30573980 | CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms |
| Q28390389 | Constrained inference of protein interaction networks for invadopodium formation in cancer |
| Q30837758 | Dynamic probabilistic threshold networks to infer signaling pathways from time-course perturbation data |
| Q42177923 | Epidermal Growth Factor Signaling towards Proliferation: Modeling and Logic Inference Using Forward and Backward Search |
| Q47135652 | Estimating drivers of cell state transitions using gene regulatory network models |
| Q30936566 | Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks |
| Q28542589 | Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization |
| Q28530068 | Inferring causal molecular networks: empirical assessment through a community-based effort |
| Q31138672 | Knowledge-guided fuzzy logic modeling to infer cellular signaling networks from proteomic data |
| Q38691620 | Logic Modeling in Quantitative Systems Pharmacology |
| Q35097279 | Network biology in medicine and beyond |
| Q34505131 | Non Linear Programming (NLP) formulation for quantitative modeling of protein signal transduction pathways |
| Q27499050 | SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools |
| Q36243997 | caspo: a toolbox for automated reasoning on the response of logical signaling networks families |
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