Listar INIBIC-RNASA-IMEDIR - Artigos por autor "Pazos, A."
Mostrando ítems 1-20 de 38
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A methodology for the design of experiments in computational intelligence with multiple regression models
Fernández-Lozano, Carlos; Gestal, M.; Munteanu, Cristian-Robert; Dorado, Julián; Pazos, A. (Peer J, 2016-12-01)[Abstract] The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the ... -
ANN multiscale model of anti-HIV Drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks
González-Díaz, Humberto; Herrera-Ibatá, Diana María; Duardo-Sánchez, Aliuska; Munteanu, Cristian-Robert; Orbegozo-Medina, Ricardo Alfredo; Pazos, A. (American Chemical Society, 2014)[Abstract] This work is aimed at describing the workflow for a methodology that combines chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive model developed with this methodology. The ... -
Applicability of clinical decision support in management among patients undergoing cardiac surgery in intensive care unit: a systematic review
Pereira, Miguel; Concheiro-Moscoso, Patricia; López-Álvarez, Alexo; Baños, Gerardo; Pazos, A.; Pereira-Loureiro, Javier (MDPI, 2021-03-23)[Abstract] The advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons’ dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent ... -
Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution
Fernández-Blanco, Enrique; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B.; Mesejo, Pablo; Ibáñez, Oscar (World Scientific, 2015-04-06)[Abstract] Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way ... -
Assessing mouse alternatives to access to computer: a case study of a user with cerebral palsy
Pousada, Thais; Pereira-Loureiro, Javier; Groba, Betania; Nieto-Riveiro, Laura; Pazos, A. (Taylor & Francis para RESNA, 2014)[Abstract] The purpose of this study is to describe the process of assessment of three assistive devices to meet the needs of a woman with cerebral palsy (CP) in order to provide her with computer access and use. The user ... -
Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
Puente-Castro, Alejandro; Fernández-Blanco, Enrique; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2020-05)[Abstract] Early detection is crucial to prevent the progression of Alzheimer’s disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis ... -
Automatic multiscale vascular image segmentation algorithm for coronary angiography
Carballal, Adrián; Nóvoa, Francisco; Fernández-Lozano, Carlos; García-Guimaraes, Marcos; Aldama López, Guillermo; Calviño-Santos, Ramón; Vázquez Rodríguez, José Manuel; Pazos, A. (Elsevier, 2018-09)[Abstract] Cardiovascular diseases, particularly severe stenosis, are the main cause of death in the western world. The primary method of diagnosis, considered to be the standard in the detection and quantification of ... -
Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and artificial intelligence models
Munteanu, Cristian-Robert; González-Díaz, Humberto; García, Rafael; Loza, Mabel; Pazos, A. (Bentham, 2015-09-01)[Abstract] The molecular information encoding into molecular descriptors is the first step into in silico Chemoinformatics methods in Drug Design. The Machine Learning methods are a complex solution to find prediction ... -
Carbon nanotubes’ effect on mitochondrial oxygen flux dynamics: polarography experimental study and machine learning models using star graph trace invariants of Raman spectra
González-Durruthy, Michael; Monserrat, José M.; Rasulev, Bakhtiyor; Casañola-Martín, Gerardo M.; Barreiro Sorrivas, José María; Paraíso-Medina, Sergio; Maojo, Víctor; González-Díaz, Humberto; Pazos, A.; Munteanu, Cristian-Robert (MDPI, 2017-11-11)[Abstract] This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass flux (Jm) under three experimental conditions. New experimental results and a new methodology are reported for the first ... -
Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data
Munteanu, Cristian-Robert; Fernández-Lozano, Carlos; Mato-Abad, Virginia; Pita-Fernández, Salvador; Álvarez-Linera, Juan; Hernández-Tamames, Juan Antonio; Pazos, A. (Elsevier, 2015-03-30)[Abstract] Several magnetic resonance techniques have been proposed as non-invasive imaging biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer’s Disease (AD). This work is the first ... -
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal
Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Springer Nature, 2019-06-26)[Abstract] Sleeping problems have become one of the major diseases all over the world. To tackle this issue, the basic tool used by specialists is the Polysomnogram, which is a collection of different signals recorded ... -
Data analysis in chemistry and bio-medical sciences
Todeschini, Roberto; Pazos, A.; Arrasate, Sonia; González-Díaz, Humberto (MPDI, 2016-12-14) -
Decrypting strong and weak single-walled carbon nanotubes interactions with mitochondrial voltage-dependent anion channels using molecular docking and perturbation theory
González-Durruthy, Michael; Werhli, Adriano V.; Seus, Vinicius; Machado, Karina S.; Pazos, A.; Munteanu, Cristian-Robert; González-Díaz, Humberto; Monserrat, José M. (Nature, 2017-10-16)[Abstract] The current molecular docking study provided the Free Energy of Binding (FEB) for the interaction (nanotoxicity) between VDAC mitochondrial channels of three species (VDAC1-Mus musculus, VDAC1-Homo sapiens, ... -
Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications
Pastur-Romay, L.A.; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B. (MDPI, 2016-08-11)[Abstract] Over the past decade, Deep Artificial Neural Networks (DNNs) have become the state-of-the-art algorithms in Machine Learning (ML), speech recognition, computer vision, natural language processing and many other ... -
EEG Signal Processing with Separable Convolutional Neural Network for Automatic Scoring of Sleeping Stage
Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Elsevier, 2020-06-01)[Abstract] Nowadays, among the Deep Learning works, there is a tendency to develop networks with millions of trainable parameters. However, this tendency has two main drawbacks: overfitting and resource consumption due ... -
Experimental and chemometric studies of cell membrane permeability
Liu, Yong; Ran, Tao; Tenorio-Borroto, Esvieta; Tang, Shaoxun; Pazos, A.; Tan, Zhiliang; González-Díaz, Humberto (Elsevier, 2016-03-18)[Abstract] Cell membrane permeability (P) governs the molecules or ions to transport through the cell membrane. In this study, we measured P of ruminal microbes in different initial levels of surface tension (ST) and ... -
Experimental and computational studies of fatty acid distribution networks
Liu, Yong; Buendía-Rodríguez, Germán; Peñuelas-Rivas, Claudia Giovanna; Tan, Zhiliang; Rivas-Guevara, María; Tenorio-Borroto, Esvieta; Munteanu, Cristian-Robert; Pazos, A.; González-Díaz, Humberto (Royal Society of Chemistry, 2015-08-06)[Abstract] Unbalanced uptake of Omega 6/Omega 3 (ω-6/ω-3) ratios could increase chronic disease occurrences, such as inflammation, atherosclerosis, or tumor proliferation, and methylation methods for measuring the ruminal ... -
Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota
Liu, Yong; Munteanu, Cristian-Robert; Fernández-Lozano, Carlos; Pazos, A.; Ran, Tao; Tan, Zhiliang; Zhou, Chuanshe; Tang, Shaoxun; González-Díaz, Humberto (Frontiers Science, 2017-06-30)[Abstract] The electrokinetic properties of the rumen microbiota are involved in cell surface adhesion and microbial metabolism. An in vitro study was carried out in batch culture to determine the effects of three levels ... -
Experimental study and random forest prediction model of microbiome cell surface hydrophobicity
Liu, Yong; Tang, Shaoxun; Fernández-Lozano, Carlos; Munteanu, Cristian-Robert; Pazos, A.; Yu, Yi-zun; Tan, Zhiliang; González-Díaz, Humberto (Elsevier, 2016-11-09)[Abstract] The cell surface hydrophobicity (CSH) is an assessable physicochemical property used to evaluate the microbial adhesion to the surface of biomaterials, which is an essential step in the microbial biofilm formation ... -
Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis
Cabrera-Andrade, Alejandro; López-Cortés, Andrés; Jaramillo-Koupermann, Gabriela; Paz-y-Miño, César; Pérez-Castillo, Yunierkis; Munteanu, Cristian-Robert; González-Díaz, Humberto; Pazos, A.; Tejera, Eduardo (M D P I AG, 2020-02-05)[Abstract] Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recent years, several studies have focused on elucidating the molecular mechanisms of this sarcoma; however, its ...