Author:Elena R. Álvarez-Buylla

Publications
Uncovering the role of mutations in Epithelial-to-Mesenchymal transition through computational analysis of the underlying gene regulatory network Jorge Enrique Narváez-Chávez, Elena R. Álvarez-Buylla and Juan Carlos Martínez-García In:Proceedings of International Conference on Bioinformatics and Computational Biology (BICOB-2023)
Clarifying the biological nature of the interaction between the systems-based epigenetic landscape and the epigenome José Luis Caldú-Primo, José Dávila-Velderrain, Juan Carlos Martínez-García and Elena R. Álvarez-Buylla In:Proceedings of International Conference on Bioinformatics and Computational Biology (BICOB-2023)
Uncovering the interdependence between hypertension and the inflammatory response for the patient affected by Covid 19 through mathematical modeling and computer-based analysis Rosario Pacheco-Marin, Carolina Caballero-Cordero, Jorge Arturo Arciniega-González, Elena R. Álvarez-Buylla and Juan Carlos Martínez-García In:Proceedings of International Conference on Bioinformatics and Computational Biology (BICOB-2023)
Uncovering the particularities of the dynamical interaction between cancer-related Epithelial-Mesenchymal Transition and the Mammalian Cell Cycle: a feedback-based Boolean networks interconnection approach Luis Juárez-Ramiro, José Dávila-Velderrain, Alberto Soria-López, Elena R. Álvarez-Buylla and Juan Carlos Martínez-Garcia In:Proceedings of International Conference on Bioinformatics and Computational Biology (BICOB-2023)

Keyphrases

Attractors landscape, Cell differentiation and morphogenesis, complex networks, COVID-19, Discrete Boolean networks³, Epigenetic regulation, epigenomics, Epithelial cancer², epithelial-to-mesenchymal transition², Feedback-based interactions, gene mutations, gene regulatory networks³, Human blood pressure patterns, Hypertension, Inflammatory response, mammalian cell cycle, medical systems biology, Methematical modeling, reachability analysis, semi-tensor product, Systems-based epigenetics, systems biology², Systems biology of cancer.