Gap junction channels of innexins and connexins: relations and computational perspectives A Sánchez, C Castro, DL Flores, E Gutiérrez, P Baldi International journal of molecular sciences 20 (10), 2476, 2019 | 23 | 2019 |
Parkinson’s disease classification using artificial neural networks C Castro, E Vargas-Viveros, A Sánchez, E Gutiérrez-López, DL Flores VIII Latin American Conference on Biomedical Engineering and XLII National …, 2020 | 9 | 2020 |
An agent-based model of the fission yeast cell cycle C Castro, DL Flores, D Cervantes-Vásquez, E Vargas-Viveros, ... Current genetics 65 (1), 193-200, 2018 | 9 | 2018 |
Prediciendo la Actividad Cardíaca de la Almeja Tivela stultorum con Digoxina Utilizando Redes Neuronales Artificiales D Flores, C Gómez, D Cervantes, A Abaroa, C Castro, ... Revista mexicana de ingeniería biomédica 38 (1), 208-216, 2017 | 8 | 2017 |
Predicting the physiological response of Tivela stultorum hearts with digoxin from cardiac parameters using artificial neural networks DL Flores, C Gómez, D Cervantes, A Abaroa, C Castro, ... BioSystems 151, 1-7, 2017 | 8 | 2017 |
Prediction of Breast Cancer Diagnosis by Blood Biomarkers Using Artificial Neural Networks B Benítez-Mata, C Castro, R Castañeda, E Vargas, DL Flores VIII Latin American Conference on Biomedical Engineering and XLII National …, 2020 | 3 | 2020 |
Modelo basado en agentes de la vía MAPK con NetLogo E Manzanarez-Ozuna, DL Flores, CM Gómez-Gutiérrez, A Abaroa, ... Memorias del Congreso Nacional de Ingeniería Biomédica 2 (1), 178-183, 2015 | 3 | 2015 |
Agent-Based Model of Resistant Bacterial Evolution in an Heterogeneous Medium RA Castañeda-Martínez, DL Flores, C Castro, B Benítez Applied Decision-Making: Applications in Computer Sciences and Engineering …, 2019 | 2 | 2019 |
Agent-Based Model of the Budding Yeast Cell Cycle Regulatory Network C Castro, DL Flores, E Vargas, D Cervantes, E Delgado World Congress on Medical Physics and Biomedical Engineering 2018: June 3–8 …, 2018 | 2 | 2018 |
Detección temprana de la enfermedad causada por el virus de Hepatitis C usando redes neuronales artificiales C Castro, BB Mata, E Vargas, DL Flores Memorias del Congreso Nacional de Ingeniería Biomédica 7 (1), 417-423, 2020 | 1 | 2020 |
Predicción de diagnóstico de diabetes mellitus utilizando máquinas de soporte vectorial en pacientes de Baja California B Benítez, C Castro, RA Castañeda-Martínez, A Abaroa Memorias del Congreso Nacional de Ingeniería Biomédica 4 (1), 415-418, 2017 | 1 | 2017 |
Synapses and neural communication in neuropathological conditions A Sánchez, DL Flores, E Leyva, C Castro Revista Mexicana de Neurociencia 21 (3), 111-121, 2020 | | 2020 |
Modelado basado en agentes para el análisis de la evolución de poblaciones bacterianas y su resistencia a antibióticos C Castro, DL Flores, RA Castañeda-Martínez, B Benítez Memorias del Congreso Nacional de Ingeniería Biomédica 5 (1), 426-429, 2018 | | 2018 |
Modelado basado en agentes del ciclo celular de la levadura Schizosaccharomyces pombe C Castro, D Flores, D Cervantes, E Delgado Memorias del Congreso Nacional de Ingeniería Biomédica 4 (1), 170-173, 2017 | | 2017 |
Predicting the Cardioactivity of Tivela stultorum clam with Digoxin Using Artificial Neural Networks D Flores, C Gómez, D Cervantes, A Abaroa, C Castro, ... Revista mexicana de ingeniería biomédica 38 (1), 208-216, 2017 | | 2017 |