Listar GI-RNASA - Congresos, conferencias, etc. por autor "Fernández-Lozano, Carlos"
Mostrando ítems 1-8 de 8
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A generalized linear model for cardiovascular complications prediction in PD patients
Fernández-Lozano, Carlos; Alonso Valente, Rafael; Fidalgo Díaz, Manuel; Pazos, A. (ACM, 2018)[Abstract] This study was conducted using machine learning models to identify patient non-invasive information for cardiovascular complications prediction in peritoneal dialysis patients. Nowadays is well known that ... -
Gene Signatures Research Involved in Cancer Using Machine Learning
Liñares Blanco, Jose; Fernández-Lozano, Carlos (M D P I AG, 2019)[Abstract] With the cheapening of mass sequencing techniques and the rise of computer technologies, capable of analyzing a huge amount of data, it is necessary nowadays that both branches mutually benefit. Transcriptomics, ... -
Identification of Prevotella, Anaerotruncus and Eubacterium Genera by Machine Learning Analysis of Metagenomic Profiles for Stratification of Patients Affected by Type I Diabetes
Fernández-Edreira, Diego; Liñares Blanco, Jose; Fernández-Lozano, Carlos (MDPI AG, 2020-08-27)[Abstract] Previous works have reported different bacterial strains and genera as the cause of different clinical pathological conditions. In our approach, using the fecal metagenomic profiles of newborns, a machine ... -
Integrative Multi-Omics Data-Driven Approach for Metastasis Prediction in Cancer
Fernández-Lozano, Carlos; Liñares Blanco, Jose; Gestal, M.; Dorado, Julián; Pazos, A. (ACM, 2018)[Abstract] Nowadays biomedical research is generating huge amounts of omic data, covering all levels of genetic information from nucleotide sequencing to protein metabolism. In the beginning, data were analyzed independently ... -
Prediction of Peptide Vascularization Inhibitory Activity in Tumor Tissue as a Possible Target for Cancer Treatment
Liñares Blanco, Jose; Fernández-Lozano, Carlos (M D P I AG, 2019-07-31)[Abstract]The prediction of metabolic activities in silico form is crucial to be able to address all research possibilities without exceeding the experimental costs. In particular, for cancer research, the prediction of ... -
Redesign and performance of an automatic segmentation method
Carballal, Adrián; Fernández-Lozano, Carlos; Nóvoa, Francisco; Rodríguez-Fernández, Nereida; Santos, Iria; García-Guimaraes, Marcos; Aldama López, Guillermo; Calviño-Santos, Ramón; Vázquez Rodríguez, José Manuel; Pazos, A. (MDPI, 2018-09-05)[Resumen] La información más relevante de las angiografías coronarias se extrae empleando técnicas de segmentación, que pueden ser automáticas, semiautomáticas o manuales. Existen numerosos algoritmos de segmentación ... -
Shiny Dashboard for Monitoring the COVID-19 Pandemic in Spain
Fernández-Lozano, Carlos; Cedrón, Francisco (MDPI AG, 2020-08-20)[Abstract] Real-time monitoring of events such as the recent pandemic caused by COVID-19, as well as the visualization of the effects produced by its expansion, has highlighted the need to join forces in fields already ... -
Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors
Carracedo-Reboredo, Paula; Munteanu, Cristian-Robert; González-Díaz, Humberto; Fernández-Lozano, Carlos (MDPI AG, 2020-08-20){Abstract] Markov Chain Molecular Descriptors (MCDs) have been largely used to solve Cheminformatics problems. The software to perform the calculation is not always available for general users. In this work, we developed ...