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Ugo Avila-Ponce de León
Ugo Avila-Ponce de León
Fred Hutch Cancer Center
Email verificata su fredhutch.org
Titolo
Citata da
Citata da
Anno
An SEIARD epidemic model for COVID-19 in Mexico: mathematical analysis and state-level forecast
UAP de León, ÁGC Pérez, E Avila-Vales
Chaos, Solitons & Fractals 140, 110165, 2020
932020
Modeling COVID-19 dynamic using a two-strain model with vaccination
UAP de León, E Avila-Vales, K Huang
Chaos, Solitons & Fractals 157, 111927, 2022
342022
Unveiling functional heterogeneity in breast cancer multicellular tumor spheroids through single-cell RNA-seq
EA Muciño-Olmos, A Vázquez-Jiménez, U Avila-Ponce de León, ...
Scientific reports 10 (1), 12728, 2020
342020
Transcriptional and microenvironmental landscape of macrophage transition in cancer: A boolean analysis
U Avila-Ponce de León, A Vázquez-Jiménez, M Matadamas-Guzman, ...
Frontiers in Immunology 12, 642842, 2021
282021
A data driven analysis and forecast of an SEIARD epidemic model for COVID-19 in Mexico
UAP de León, ÁGC Pérez, E Avila-Vales
Big Data and Information Analytics 5 (1), 14-28, 2020
262020
Sensitivity theorems of a model of multiple imperfect vaccines for COVID-19
FJ Aguilar-Canto, UAP de León, E Avila-Vales
Chaos, Solitons & Fractals 156, 111844, 2022
152022
On deep landscape exploration of COVID-19 patients cells and severity markers
A Vázquez-Jiménez, UE Avila-Ponce De Leon, M Matadamas-Guzman, ...
Frontiers in Immunology 12, 705646, 2021
112021
Modeling the transmission of the SARS-CoV-2 delta variant in a partially vaccinated population
U Avila-Ponce de León, E Avila-Vales, K Huang
Viruses 14 (1), 158, 2022
72022
Boolean modeling reveals that cyclic attractors in macrophage polarization serve as reservoirs of states to balance external perturbations from the tumor microenvironment
UAP de León, A Vázquez-Jiménez, M Matadamas-Guzmán, ...
Frontiers in Immunology 13, 1012730, 2022
62022
A data driven analysis and forecast of an SEIARD epidemic model for COVID-19 in Mexico
U Avila-Ponce de León, ÁGC Pérez, E Avila-Vales
arXiv e-prints, arXiv: 2004.08288, 2020
62020
A data driven analysis and forecast of an SEIARD epidemic model for COVID-19 in Mexico. arXiv; 2020
UAP de León, ÁG Pérez, E Avila-Vales
arXiv preprint arXiv:2004.08288, 2004
52004
SIR-based model with multiple imperfect vaccines
FJ Aguilar-Canto, UAP de León, E Avila-Vales
medRxiv, 2021.05. 07.21256860, 2021
32021
Uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach
U Avila-Ponce de León, A Vázquez-Jiménez, P Padilla-Longoria, ...
Frontiers in Immunology 14, 1150890, 2023
12023
Modeling the SARS-CoV-2 Omicron variant dynamics in the United States with booster dose vaccination and waning immunity
UAP de León, AGC Pérez, E Avila-Vales
Mathematical Biosciences and Engineering 20 (6), 10909-10953, 2023
12023
Modeling the SARS-CoV-2 sublineages XBB and BQ. 1 in Mexico, considering multiple vaccinations, booster dose, waning immunity and cross-immunity
UAP de León, AGC Pérez, E Avila-Vales
Electronic Research Archive 32 (2), 1082-1125, 2024
2024
Machine Learning and COVID-19: Lessons from SARS-CoV-2
U Avila-Ponce de León, A Vazquez-Jimenez, A Cervera, ...
Application of Omic Techniques to Identify New Biomarkers and Drug Targets …, 2023
2023
Macrophage Boolean networks in the time of SARS-CoV-2
UAP de León, O Resendis-Antonio
Frontiers in immunology 13, 997434, 2022
2022
Modeling the transmission of the SARS-CoV-2 delta variant in a partially vaccinated population (preprint)
UAP de León, E Avila-Vales, K Huang
2021
SIR-based model with multiple imperfect vaccines (preprint)
FJ Aguilar-Canto, UAP de León, E Avila-Vales
2021
An SEIARD epidemic model for COVID-19 in Mexico: mathematical analysis and state-level forecast (preprint)
UAP de León, ÁGC Pérez, E Avila-Vales
2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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