Listar Artículos Científicos por autor
Mostrando publicaciones 1-17 de 17
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A deep learning approach to population structure inference in inbred lines of maize
López-Cortés, Xaviera A.; Matamala, Felipe; Maldonado, Carlos; Mora-Poblete, Freddy; Scapim, Carlos A. (2020)Analysis of population genetic variation and structure is a common practice for genome-wide studies, including association mapping, ecology, and evolution studies in several crop species. In this study, machine learning ...
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Aspect-combining functions for modular MapReduce solutions
Vidal Silva, Cristian; Villarroel, Rodolfo; Rubio, José; Johnson, Franklin; Madariaga, Érica; Urzúa, Alberto; Carter, Luis; Campos-Valdés, Camilo; López-Cortés, Xaviera A. (2018)MapReduce represents a programming framework for modular Big Data computation that uses a function map to identify and target intermediate data in the mapping phase, and a function reduce to summarize the output of the map ...
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Classification of diseased and healthy apple leaves through extreme learning machines
Ahumada García, Roberto; Zabala-Blanco, David; Soto, Ismael; López-Cortés, Xaviera A.; Barrientos, Ricardo (2022)Diseases in agricultural crops are a risk for fruit productivity and quality. Chile is a fruit exporting country; that needs the development of technologies for diseases prevention and treatment. Farmers have been exploring ...
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Deep learning algorithm applied to bacteria recognition
Alegría Guajardo, Carlos E.; López-Cortés, Xaviera A.; Hernández Álvarez, Sergio (2022)Pathogenic bacteria are harmful microorganisms capable of causing diseases. To fight or eliminate those microorganisms, antibiotics with antimicrobial action have been developed wich can be synthetic or semi synthetic. ...
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Effect of missing data on short time series and their application in the characterization of surface temperature by detrended fluctuation analysis
López-Díaz, Juan L.; Hernández, Sergio; Urrutia-Sepúlveda, Angélica; López-Cortés, Xaviera A.; Araya, H.; Morales-Salinas, Luis (2021)Climate change is deeply impacting the society on different scales. Decision making becomes a complex task when, in adverse weather conditions, the meteorological records show missing data due to failures of measuring ...
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Effects of interleukin-1β in glycinergic transmission at the central amygdala
Solorza, Jocelyn; Oliva, Carolina A.; Castillo, Karen; Amestica, Gabriela; Maldifassi, María Constanza; López-Cortés, Xaviera A.; Barra, Rafael; Stehberg, Jimmy; Piesche, Matthias; Sáez-Briones, Patricio; González, Wendy; Arenas-Salinas, Mauricio; Mariqueo, Trinidad A. (2021)Interleukin-1β (IL-1β) is an important cytokine that modulates peripheral and central pain sensitization at the spinal level. Among its effects, it increases spinal cord excitability by reducing inhibitory Glycinergic and ...
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Explainable hidden Markov model for road safety: a case of road closure recommendations in extreme weather conditions
Hernández, Sergio; López, Juan Luis; López-Cortés, Xaviera A.; Urrutia-Sepúlveda, Angélica (2023)Recommendations analysis of road safety requires decision-making tools that accommodate weather uncertainties. Operation and maintenance of transport infrastructure have been one of the sub-areas that require attention due ...
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Extreme learning machine (ELM) for detection of hazardous near Earth objects
Ahumada-García, Roberto; Morán Faúndez, Esteban; Zabala-Blanco, David; López-Cortés, Xaviera A.; Rivelli Malco, Juan Pablo; Soto, Ismael (2023)The protection of planet Earth, its inhabitants, and all living beings requires the identification of potentially dangerous objects, the simulation of impacts with Earth, and the mitigation of such threats. This research ...
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Identification of immunoglobulin gene usage in immune repertoires sequenced by nanopore technology
Ahumada-García, Roberto; González-Puelma, Jorge; Álvarez-Saravia, Diego; Barrientos, Ricardo ; Uribe-Paredes, Roberto; López-Cortés, Xaviera A. (2019)The immunoglobulin receptor represents a central molecule in acquired immunity. The complete set of immunoglobulins present in an individual is known as immunological repertoire. The identification of this repertoire is ...
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MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning
López-Cortés, Xaviera A.; Manríquez-Troncoso, José M.; Hernández-García, Ruber; Peralta, Daniel (2024)Introduction: Antimicrobial resistance (AMR) is a global health problem that requires early and effective treatments to prevent the indiscriminate use of antimicrobial drugs and the outcome of infections. Mass Spectrometry ...
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Una propuesta de algoritmo spin / promela para el análisis y diagnóstico de errores en diagramas de secuencia UML
Vidal Silva, Cristian; Villarroel, Rodolfo; López-Cortés, Xaviera A.; Rubio, José (2019)Este trabajo describe las principales características de diagramas de secuencia UML, la noción de falla o error y tolerancia a fallas, y algunos tipos de fallas comunes y sus acciones de corrección en un diagrama de ...
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Prospective cohort study identifies medical predictors of treatment-related oral toxicities in oral and oropharyngeal cancer patients
Rodrigues-Oliveira, Leticia; Rivera, César; López-Cortés, Xaviera A.; Perez Mak, Milena; Mores, Ana Leticia; Migliorati, Cesar Augusto; Querido de Oliveira, Maria Cecília; Palmier, Natalia Rangel; Gueiros, Luiz Alcino; Vargas, Pablo Agustin; Brandão, Thaís Bianca; Santos-Silva, Alan Roger; Prado-Ribeiro, Ana Carolina (2024)The dental treatment of patients with oral cavity and oropharyngeal squamous cell carcinoma (OOPSCC) may be challenging for dentists. This study aimed to characterize systemic changes in patients with OOPSCC undergoing ...
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Strategy based on data mining and MALDI-Mass spectrometry for control disease of SRS in Salmo Salar
López-Cortés, Xaviera A.; Ávila-Salas, Fabián; Orellana, Cristopher; Santos, Leonardo S. (2018)Piscirickettsia salmonis is a highly transmissible pathogens that cause high mortality in farmed salmonids. In this way, new techniques based on mass spectrometry (MS) and machine learning were applied and combined in an ...
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Supervised machine learning-based prediction for dry mouth oral adverse drug reactions
Ramírez-Méndez, Rodrigo; López-Cortés, Xaviera A. (2020)Adverse drug reactions (ADRs) are defined as an unintended and harmful response that occurs with the ingestion of a certain drug. ADRs result in an appreciably harmful or unpleasant reaction that determines the success or ...
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Synthesis of pyrazolo-fused 4-azafluorenones in an ionic liquid. mechanistic insights by joint studies using dft analysis and mass spectrometry
Polo, Efraín; Arce-Parada, Valentina; López-Cortés, Xaviera A.; Sánchez-Márquez, Jesús; Morales-Bayuelo, Alejandro; Forero-Doria, Oscar; Gutiérrez, Margarita (2019)A series of pyrazolo-fused 4-azafluorenones (indeno[1,2-b]pyrazolo[4,3-e]pyridines, IPP) were synthesized via the three-component reaction between arylaldehydes, 3-methyl-1H-pyrazol5-amine and 1,3-indanedione in an ionic ...
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What hides Chile’s electricity mix data: a data science perspective
Soto, Javier; Moore, Michaol; López-Cortés, Xaviera A.; Hernández-García, Ruber; Merino-Rodríguez, Iván (2022)In the context of decarbonization and fossil fuel independence, Chile has a great task ahead. The most relevant is to become carbon neutral by 2050 by replacing fossil fuels with clean energy sources, where, besides ...
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X-MassFP: a platform with focus on pattern research for mass spectrometry fingerprint recognition
Ibáñez-Barrios, María T.; López-Cortés, Xaviera A. (2021)Pathogens are infectious microorganisms that lodge in a host and are responsible for causing diseases. In many cases, the detection of pathogens is expensive in resources and time. In this way, mass spectrometry is combined ...