Mostrando 10 resultados de: 17
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BMC Medical Genomics(3)
Physica A: Statistical Mechanics and its Applications(3)
Communications in Nonlinear Science and Numerical Simulation(2)
Hypertension in Pregnancy(2)
Acta Obstetricia et Gynecologica Scandinavica(1)
Co-expression network analysis and genetic algorithms for gene prioritization in preeclampsia
ArticleAbstract: Background: In this study, we explored the gene prioritization in preeclampsia, combining co-expressPalabras claves:Autores:Bernardes J., Eduardo Tejera, Rebelo I.Fuentes:googlescopusBlood pressure and heart rate variability complexity analysis in pregnant women with hypertension
ArticleAbstract: Background. In this work, we perform a comparative analysis of blood pressure and heart rate variabiPalabras claves:Complexity, Gestational hypertension, Heart rate, Preeclampsia, variabilityAutores:Areias M.J., Eduardo Tejera, Nieto-Villar J.M., Rebelo I., Rodrigues A.I.Fuentes:googlescopusConsensus strategy in genes prioritization and combined bioinformatics analysis for preeclampsia pathogenesis
ArticleAbstract: Background: Preeclampsia is a multifactorial disease with unknown pathogenesis. Even when recent stuPalabras claves:Communality analysis, Consensus analysis, early recognition, Gene periodization, Microarray analysis, pathogenesis, PreeclampsiaAutores:Aminael Sánchez-Rodríguez, Borges F., Cesar Paz-y-Miño, Eduardo Tejera, Germán Burgos, Maykel Cruz-Monteagudo, Natalia Dias Soeiro Cordeiro M., Rebelo I., Sánchez M.E., Yunierkis Perez-CastilloFuentes:googlescopusCan We Pbkp_redict Preeclampsia?
Book PartAbstract:Palabras claves:Autores:Bernardes J., Eduardo Tejera, Patrício B., Rebelo I.Fuentes:googlescopusArtificial neural network for normal, hypertensive, and preeclamptic pregnancy classification using maternal heart rate variability indexes
ArticleAbstract: Objective.A model construction for classification of women with normal, hypertensive and preeclamptiPalabras claves:artificial neural networks, HRV, Hypertension, Preeclampsia, PregnancyAutores:Eduardo Tejera, Jose Areias M., Manuel Nieto-Villar J., Rama A., Rebelo I., Rodrigues A.I.Fuentes:googlescopusAdhesion molecules (VCAM-1 and ICAM-1) and C-reactive protein in women with history of preeclampsia
ArticleAbstract: Several studies suggest that women with previous preeclampsia (PE) are at increased risk of cardiovaPalabras claves:Adhesion molecules, Hypertension, PreeclampsiaAutores:Belo L., Eduardo Tejera, Portelinha A., Rebelo I.Fuentes:googlescopusAltered alanine aminotransferase and γ-glutamyl transpeptidase in women with history of preeclampsia: Association with waist-to-hip ratio and body mass index
ArticleAbstract: Objective Preeclampsia (PE), mostly when associated with HELLP syndrome, together with acute fatty lPalabras claves:body mass index, Hypertension, Liver, PreeclampsiaAutores:Belo L., Cerdeira A.S., Eduardo Tejera, Pinto A., Pinto F., Portelinha A., Rebelo I.Fuentes:googlescopusFractal protein structure revisited: Topological, kinetic and thermodynamic relationships
ArticleAbstract: The present work explored the definitions and calculations of fractal dimensions in protein structurPalabras claves:Contact map, folding rate, fractal dimension, Protein length, Spectral dimension, thermodynamicAutores:Antonio Machado, Eduardo Tejera, Nieto-Villar J.M., Rebelo I.Fuentes:googlescopusEfficient and biologically relevant consensus strategy for Parkinson's disease gene prioritization
ArticleAbstract: Background: The systemic information enclosed in microarray data encodes relevant clues to overcomePalabras claves:Co-expression networks, Consensus strategy, early recognition, Gene prioritization, Parkinson's DiseaseAutores:A. Sanchez Rodriguez, Aminael Sánchez-Rodríguez, Borges F., Cesar Paz-y-Miño, Eduardo Tejera, Maykel Cruz-Monteagudo, Morales-Helguera A., Natalia Dias Soeiro Cordeiro M., Rebelo I., Y. Perez Castillo, Yunierkis Perez-CastilloFuentes:googlerraaescopusNetwork centrality and multiscale transition asymmetry in the heart rate variability analysis of normal and preeclamptic pregnancies
ArticleAbstract: In the present work we define and apply a new methodology for the analysis of time series that involPalabras claves:asymmetry, Complexity, HRV, network, Preeclampsia, PregnancyAutores:Areias M.J., Eduardo Tejera, Nieto-Villar J.M., Rebelo I., Rodrigues A.I.Fuentes:googlescopus