• Hanneke van Bruggen, medalla de oro de terapia ocupacional 2012: una mirada caleidoscópica 

      Bruggen, Johanna Elisabeth van; Viana-Moldes, Inés; Rivas-Quarneti, Natalia; Canosa, Nereida; Santos-del-Riego, Sergio; Pérez-de-Heredia-Torres, Marta; Luaces Gudín, David; Ávila Álvarez, Adriana I.; Groba, Betania; Nieto-Riveiro, Laura; Mansilla Barreiro, Bárbara; De-Rosende, Iván; Francisco de Miguel, Isabel; Antuña de la Paz, Gretel; Mosteiro Sigüenza, Sonsoles; Vila Paz, Alba; McGrath, Margaret; Fransen, Hetty Jaibi; Wessels, Saskia Hofstede; Sadlo, Gaynor; Todorova, Liliya; Kantartzis, Sarah; Pizkur, Barbara; Daniels, Ramon; Park, Melissa; Ramugondo, Elelwani; Kronenberg, Frank; Kapanadze, María; Simó Algado, Salvador; Sakellariou, Dikaios; Talavera Valverde, Miguel Ángel (Asociación Profesional Gallega de Terapia Ocupacional, 2012)
      [Resumen] El espíritu pionero, su energía contagiosa y el compromiso, son un ejemplo para todos los terapeutas ocupacionales del mundo y también una referencia para nuestra profesión. Por esta ...
    • He–, Ne–, and Ar–phosgene intermolecular potential energy surfaces 

      Munteanu, Cristian-Robert; Henriksen, Christian; Felker, Peter M.; Fernández, Berta (ACS Publications, 2013-04-12)
      [Abstract] Using the CCSD(T) model, we evaluated the intermolecular potential energy surfaces of the He–, Ne–, and Ar–phosgene complexes. We considered a representative number of intermolecular geometries for which we ...
    • Hybrid machine learning techniques in the management of harmful algal blooms impact 

      Molares-Ulloa, Andrés; Rivero, Daniel; Gil Ruiz, Jesús; Fernández-Blanco, Enrique; De-la-Fuente-Valentín, Luis (Elsevier, 2023)
      [Abstract]: Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filter feeders, they can accumulate ...
    • Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection Within Fruit Juice Classification 

      Fernández-Lozano, Carlos; Canto, C.; Gestal, M.; Andrade-Garda, José Manuel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Hindawi, 2013-10-21)
      [Abstract] Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines ...
    • Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques 

      Arceo-Vilas​, Alba; Fernández-Lozano, Carlos; Pita​, Salvador; Pértega-Díaz, Sonia; Pazos, A. (PeerJ, Ltd., 2020-07-27)
      [Abstract] Food consumption patterns have undergone changes that in recent years have resulted in serious health problems. Studies based on the evaluation of the nutritional status have determined that the adoption of a ...
    • IFPTML Mapping of Drug Graphs with Protein and Chromosome Structural Networks vs. Pre-Clinical Assay Information for Discovery of Antimalarial Compounds 

      Quevedo‐Tumailli, Viviana F.; Ortega‐Tenezaca, Bernabé; Díaz, Humberto G. (MDPI, 2021)
      [Abstract] The parasite species of genus Plasmodium causes Malaria, which remains a major global health problem due to parasite resistance to available Antimalarial drugs and increasing treatment costs. Consequently, ...
    • Image sequence sorting algorithm for commercial tasks 

      Grelier, Guillaume; Casal, Miguel A.; Torrente-Patiño, Álvaro; Romero, Juan (Frontiers Media, 2024-04)
      [Abstract]: Introduction: The sorting of sequences of images is crucial for augmenting user engagement in various virtual commercial platforms, particularly within the real estate sector. A coherent sequence of images ...
    • Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning 

      Munteanu, Cristian-Robert; Gestal, M.; Martínez-Acevedo, Yunuen G.; Pazos, A.; Dorado, Julián; Pedreira Souto, Nieves (MDPI, 2019)
      [Abstract] In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its sequence, a known ...
    • Improving Enzyme Regulatory Protein Classification by Means of SVM-RFE Feature Selection 

      Fernández-Lozano, Carlos; Fernández-Blanco, Enrique; Dave, Kirtan; Pedreira Souto, Nieves; Gestal, M.; Dorado, Julián; Munteanu, Cristian-Robert (Royal Society of Chemistry, 2014-01-14)
      [Abstract] Enzyme regulation proteins are very important due to their involvement in many biological processes that sustain life. The complexity of these proteins, the impossibility of identifying direct quantification ...
    • In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19 

      López-Cortés, Andrés; Guevara-Ramírez, Patricia; Kyriakidis, Nikolaos C.; Barba-Ostria, Carlos; León Cáceres, Ángela; Guerrero, Santiago; Ortiz-Prado, Esteban; Munteanu, Cristian-Robert; Tejera, Eduardo; Cevallos-Robalino, Doménica; Gómez-Jaramillo, Ana María; Simbaña-Rivera, Katherine; Granizo-Martínez, Adriana; Pérez-M, Gabriela; Moreno, Silvana; García-Cárdenas, Jennyfer M.; Zambrano, Ana Karina; Pérez-Castillo, Yunierkis; Cabrera-Andrade, Alejandro; Puig San Andrés, Lourdes; Proaño-Castro, Carolina; Bautista, Jhommara; Quevedo, Andreina; Varela, Nelson; Quiñones, Luis Abel; Paz-y-Miño, César (Frontiers Research Foundation, 2021-02-26)
      [Abstract] Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively. Methods: We performed in silico analyses of immune system protein interactome ...
    • Indexación de la revista TOC en bases de datos 

      Nieto-Riveiro, Laura; Groba, Betania (Colegio de Terapeutas Ocupacionales de Galicia, 2011)
    • Indicators Framework for Sustainable Urban Design 

      López Chao, Andrea; Casares-Gallego, Amparo; López-Chao, Vicente; Alvarellos, Alberto (2020)
      [Abstract] Climate change and sustainability have recently been object of study due to the impact on the planet and on human activity of the first and the benefits that could derive from the efficiency of the second. ...
    • Influence of disability on maternal care 

      Pousada, Thais; Madrid Martínez, Paula; Pereira-Loureiro, Javier; Groba, Betania; Díaz Martínez, Encarnación (Springer, 2015)
      [Abstract] The purpose of the study was to examine how women with physical disabilities perceive the influence of their disability on maternal care during the first 3 years of their child’s life, to describe the main ...
    • Influencia del contexto en la calidad de la entrevista clínica en fisioterapia 

      Martínez-Rodríguez, Alicia; Patiño Núñez, Sergio; Paseiro Ares, Gustavo; Martínez-Bustelo, Sandra; Náchez, N.; Fernández-Cervantes, Ramón (Elsevier, 2001)
      [Resumen] La calidad es un tema que está de actualidad no sólo en su vertiente científico técnica, sino también en el aspecto de las relaciones humanas. Si bien es un asunto muy abordado en varias profesiones sanitarias, ...
    • Investigación en terapia ocupacional: proceso de búsqueda de conocimiento 

      Nieto-Riveiro, Laura; Groba, Betania; Reboredo Taboada, Sonia (Colegio de Terapeutas Ocupacionales de Galicia, 2011)
    • Kernel-Based Feature Selection Techniques for Transport Proteins Based on Star Graph Topological Indices 

      Fernández-Lozano, Carlos; Gestal, M.; Pedreira Souto, Nieves; Postelnicu, Lucian; Dorado, Julián; Munteanu, Cristian-Robert (Bentham, 2013)
      [Abstract] The transport of the molecules inside cells is a very important topic, especially in Drug Metabolism. The experimental testing of the new proteins for the transporter molecular function is expensive and inefficient ...
    • LECTINPred: web server that uses complex networks of protein structure for prediction of lectins with potential use as cancer biomarkers or in parasite vaccine design 

      Munteanu, Cristian-Robert; Pedreira Souto, Nieves; Dorado, Julián; Pazos, A.; Pérez-Montoto, Lázaro G.; Ubeira, Florencio; González-Díaz, Humberto (Wiley, 2014-03-18)
    • Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data 

      Liñares Blanco, Jose; Fernández-Lozano, Carlos; Seoane Fernández, José Antonio; López-Campos, Guillermo (NLM (Medline), 2021)
      [Abstract] In recent years, microbiota has become an increasingly relevant factor for the understanding and potential treatment of diseases. In this work, based on the data reported by the largest study of microbioma in ...
    • Machine learning analysis of TCGA cancer data 

      Liñares Blanco, Jose; Pazos, A.; Fernández-Lozano, Carlos (PeerJ Inc., 2021)
      [Abstract] In recent years, machine learning (ML) researchers have changed their focus towards biological problems that are difficult to analyse with standard approaches. Large initiatives such as The Cancer Genome Atlas ...
    • Machine Learning Analysis of the Human Infant Gut Microbiome Identifies Influential Species in Type 1 Diabetes 

      Fernández-Edreira, Diego; Liñares Blanco, Jose; Fernández-Lozano, Carlos (Elsevier, 2021)
      [Abstract] Diabetes is a disease that is closely linked to genetics and epigenetics, yet mechanisms for clarifying the onset and/or progression of the disease have sometimes not been fully managed. In recent years and due ...