Identificación de la asociación entre variables con base en redes direccionadas: estudio de las variables obtenidas durante el brote de Zika en Colombia
| dc.contributor.advisor | López Kleine, Liliana | spa |
| dc.contributor.author | Palomino Ramírez, Francisco Javier | spa |
| dc.contributor.researchgroup | METODOS EN BIOESTADISTICA | spa |
| dc.date.accessioned | 2020-11-19T15:30:10Z | spa |
| dc.date.available | 2020-11-19T15:30:10Z | spa |
| dc.date.issued | 2020-06-02 | spa |
| dc.description.abstract | Las redes se presentan como una alternativa metodológica que permite capturar la esencia de los elementos inmersos en sistemas complejos, resaltando las interacciones o conexiones entre ellos. Específicamente se dispone de las redes direccionadas, que tienen la propiedad de hacer énfasis sobre conexiones dirigidas entre los elementos, de forma que es posible identificar cuáles elementos son antecedentes y cuales son consecuentes en una interacción. Las redes direccionadas se han utilizado en diversos contextos y una de las aplicaciones más útiles para entender fenómenos complejos es establecer relaciones entre variables. Existen diversas formas de construcción de redes direccionadas, de las cuales se exploró la construcción por medio de medidas de similitud, aplicando al final un método bootstrap para evaluar la validez de los resultados. Como aplicación, se tomaron los datos de contagio por el virus del Zika en gestantes, evaluando las interacciones entre las variables dentro de las que se incluyeron las complicaciones cerebrales como microcefalia, en Colombia para los años 2015 y 2016. | spa |
| dc.description.abstract | Networks are a methodological alternative that allows capturing the essence of the elements in complex systems, highlighting the interactions or connections among them. Specifically networks, have the property of emphasizing directed connections between the elements, so that it is possible to identify which elements are antecedents and which are consequent in an interaction. Networks have been used in various contexts and one of the the most useful application to understand complex phenomena is to establish relationships between variables. There are various ways of building directed networks. Here, networks are constructed by means of similarity measures and thresholding, applying at the end a bootstrap to assess the validity of the results. As an application, the Zika virus transmission data in pregnant women, evaluating the interactions between variables that included brain complications such as microcephaly, in Colombia for the years 2015 and 2016, is presented. | spa |
| dc.description.additional | Línea de investigación: Bioestadística | spa |
| dc.description.degreelevel | Maestría | spa |
| dc.format.extent | 119 | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.uri | https://repositorio.unal.edu.co/handle/unal/78635 | |
| dc.language.iso | spa | spa |
| dc.publisher.branch | Universidad Nacional de Colombia - Sede Bogotá | spa |
| dc.publisher.department | Departamento de Estadística | spa |
| dc.publisher.program | Bogotá - Ciencias - Maestría en Ciencias - Estadística | spa |
| dc.relation.references | Abdelrahman Abushouk, Ahmed Negida, and Hussien Ahmed, An updated review of zika virus, Journal of Clinical Virology 84 (2016), 53–58. | spa |
| dc.relation.references | Alan Agresti, Categorical data analysis, vol. 482, John Wiley & Sons, 2003. | spa |
| dc.relation.references | Haldun Akoglu, User’s guide to correlation coefficients, Turkish Journal of Emergency Medicine 18 (2018), 91–93. | spa |
| dc.relation.references | Réka Albert and Albert-László Barabási, Statistical mechanics of complex networks, Reviews of modern physics 74 (2002), no. 1, 47. | spa |
| dc.relation.references | Syed Ali and Samuel Silvey, A general class of coefficients of divergence of one distribution from another, Journal of the Royal Statistical Society: Series B (Methodological) 28 (1966), no. 1, 131–142. | spa |
| dc.relation.references | Jørgen Bang-Jensen and Gregory Gutin, Digraphs: theory, algorithms and applications, Springer Science & Business Media, 2008. | spa |
| dc.relation.references | Stefan Bornholdt and Heinz Schuster, Handbook of graphs and networks: from the genome to the internet, John Wiley & Sons, 2006. | spa |
| dc.relation.references | Ulrik Brandes, A faster algorithm for betweenness centrality, Journal of mathematical sociology 25 (2001), no. 2, 163–177. | spa |
| dc.relation.references | Robert Brent, Environmental causes of human congenital malformations: the pediatrician’s role in dealing with these complex clinical problems caused by a multiplicity of environmental and genetic factors, Pediatrics 113 (2004), no. Supplement 3, 957–968. | spa |
| dc.relation.references | Michael Brinkmeier and Thomas Schank, Network statistics, Network analysis, Springer, 2005, pp. 293–317. | spa |
| dc.relation.references | Wray Buntine, A guide to the literature on learning probabilistic networks from data, IEEE Transactions on knowledge and data engineering 8 (1996), no. 2, 195–210. | spa |
| dc.relation.references | Carter Butts, network: Classes for relational data, The Statnet Project (http://statnet.org), 2015, R package version 1.13.0.1. | spa |
| dc.relation.references | Carter Butts, sna: Tools for social network analysis, 2016, R package version 2.4. | spa |
| dc.relation.references | Peter Carrington, John Scott, and Stanley Wasserman, Models and methods in social network analysis, vol. 28, Cambridge university press, 2005. | spa |
| dc.relation.references | Myriam Cifuentes, Clara Suarez, Ricardo Cifuentes, Nathan Doogan, Noel Malod-Dognin, Sam Windels, Jose Valderrama, Darryl Hood, and Natasa Przulj, (unpublished manuscript) network analysis of brazil’s 2016 zika-related incidence of microcephaly reveals misestimation of the outbreak and multiple contributing factors, None (2017), 1–5. | spa |
| dc.relation.references | Gabor Csardi and Tamas Nepusz, The igraph software package for complex network research, InterJournal Complex Systems (2006), 1695. | spa |
| dc.relation.references | Leon Danon, Ashley Ford, Thomas House, Chris Jewell, Matt Keeling, Gareth Roberts, Joshua Ross, and Matthew Vernon, Networks and the epidemiology of infectious disease, Interdisciplinary perspectives on infectious diseases 2011 (2011). | spa |
| dc.relation.references | Jhonny Demey, Laura Pla, José Vicente-Villardón, Julio Di Rienzo, and Fernando Casanoves, Medidas de distancia y de similitud, Validaci´on y An´alisis de la Diversidad Funcional y su Relación con los Servicios Ecosistémicos. CATIE, Costa Rica (2011), 47–59. | spa |
| dc.relation.references | Maria D’Esposito, Domenico De Stefano, and Giancarlo Ragozini, On the use of multiple correspondence analysis to visually explore affiliation networks, Social Networks 38 (2014), 28–40. | spa |
| dc.relation.references | David Edwards, Introduction to graphical modelling, Springer Science & Business Media, 2012. | spa |
| dc.relation.references | Linton Freeman, Centrality in social networks conceptual clarification, Social networks 1 (1978), no. 3, 215–239. | spa |
| dc.relation.references | Nir Friedman, Michal Linial, Iftach Nachman, and Dana Pe’er, Using bayesian networks to analyze expression data, Journal of computational biology 7 (2000), no. 3-4, 601–620. | spa |
| dc.relation.references | Cristian Gonzalez, Construcción de redes de regulación génica usando datos de secuenciación de arn, Msc thesis, Univ. Nacional de Colombia, 2018. | spa |
| dc.relation.references | Louis Gray and Sherwood Williams, Goodman and kruskal’s tau b: m ultiple and partial analogs, Sociological Methods & Research 10 (1981), no. 1, 50–62. | spa |
| dc.relation.references | Peter Grindrod and Milla Kibble, Review of uses of network and graph theory concepts within proteomics, Expert review of proteomics 1 (2004), no. 2, 229–238. | spa |
| dc.relation.references | David K Hammond, Yaniv Gur, and Chris Johnson, Graph diffusion distance: A difference measure for weighted graphs based on the graph laplacian exponential kernel, 2013 IEEE Global Conference on Signal and Information Processing, IEEE, 2013, pp. 419–422. | spa |
| dc.relation.references | Jean Hausser and Korbinian Strimmer, entropy: Estimation of entropy, mutual information and related quantities, 2014, R package version 1.2.1. | spa |
| dc.relation.references | David Heymann, Abraham Hodgson, David Freedman, Jennifer Staples, Fernando Althabe, Kalpana Baruah, Ghazala Mahmud, Nyoman Kandun, Pedro Vasconcelos, Silvia Bino, et al., Zika virus and microcephaly: why is this situation a pheic?, The Lancet 387 (2016), no. 10020, 719–721. | spa |
| dc.relation.references | David Hinkley, Bootstrap methods, Journal of the Royal Statistical Society: Series B (Methodological) 50 (1988), no. 3, 321–337. | spa |
| dc.relation.references | Sophie Ioos, Henri Mallet, Isabelle Goffart, Violaine Gauthier, Thierry Cardoso, and Magid Herida, Current zika virus epidemiology and recent epidemics, Medecine et maladies infectieuses 44 (2014), no. 7, 302–307. | spa |
| dc.relation.references | Ronald Jansen and Mark Gerstein, Analyzing protein function on a genomic scale: the importance of gold-standard positives and negatives for network prediction, Current opinion in microbiology 7 (2004), no. 5, 535–545. | spa |
| dc.relation.references | Alboukadel Kassambara and Fabian Mundt, factoextra: Extract and visualize the results of multivariate data analyses, 2017, R package version 1.0.5. | spa |
| dc.relation.references | Eric Kolaczyk and Gábor Csárdi, Statistical analysis of network data with r, vol. 65, Springer, 2014. | spa |
| dc.relation.references | Solomon Kullback and Richard Leibler, On information and sufficiency, The annals of mathematical statistics 22 (1951), no. 1, 79–86. | spa |
| dc.relation.references | Nicolas Langer, Andreas Pedroni, and Lutz Jäncke, The problem of thresholding in small-world network analysis, PLoS ONE 8 (2013), no. 1, e53199. | spa |
| dc.relation.references | Sébastien Lê, Julie Josse, and François Husson, FactoMineR: A package for multivariate analysis, Journal of Statistical Software 25 (2008), no. 1, 1–18 | spa |
| dc.relation.references | Luis Leal, Desarrollo de una metodología estadística aplicada a la construcción y comparación de redes de coexpresión génica, Msc thesis, Univ. Nacional de Colombia, 2013. | spa |
| dc.relation.references | Ludovic Lebart, Alain Morineau, and Marie Piron, Statistique exploratoire multidimensionnelle, vol. 3, Dunod Paris, 1995. | spa |
| dc.relation.references | FN Macnamara, Zika virus: a report on three cases of human infection during an epidemic of jaundice in nigeria, Transactions of the Royal Society of Tropical Medicine and Hygiene 48 (1954), no. 2, 139–145. | spa |
| dc.relation.references | David Meyer, Achim Zeileis, and Kurt Hornik, vcd: Visualizing categorical data, 2017, R package version 1.4-4. | spa |
| dc.relation.references | Jernej Mlakar, Misa Korva, Nataša Tul, Mara Popović, Mateja Poljšak-Prijatelj, Jerica Mraz, Marko Kolenc, Katarina Resman, Tina Vesnaver, Vesna Fabjan, et al., Zika virus associated with microcephaly, New England Journal of Medicine 374 (2016), no. 10, 951–958. | spa |
| dc.relation.references | William Navidi, Estadística para ingenieros y científicos, vol. 1, McGraw Hill, 2006. | spa |
| dc.relation.references | Mark Newman, Scientific collaboration networks. i. network construction and fundamental results, Physical review E 64 (2001), no. 1, 016131. | spa |
| dc.relation.references | Tore Opsahl, Filip Agneessens, and John Skvoretz, Node centrality in weighted networks: Generalizing degree and shortest paths, Social networks 32 (2010), no. 3, 245–251. | spa |
| dc.relation.references | Ron Pearson, Goodmankruskal: Association analysis for categorical variables, 2016, R package version 0.0.2. | spa |
| dc.relation.references | Lyle Petersen, Denise Jamieson, Ann Powers, and Margaret Honein, Zika virus, New England Journal of Medicine 374 (2016), no. 16, 1552–1563. | spa |
| dc.relation.references | Anna Plourde and Evan Bloch, A literature review of zika virus, Emerging infectious diseases 22 (2016), no. 7, 1185. | spa |
| dc.relation.references | R Core Team, R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, 2013. | spa |
| dc.relation.references | Sonja Rasmussen, Denise Jamieson, Margaret Honein, and Lyle Petersen, Zika virus and birth defects reviewing the evidence for causality, New England Journal of Medicine 374 (2016), no. 20, 1981–1987. | spa |
| dc.relation.references | Jana Ritter, Roosecelis Martines, and Sherif Zaki, Zika virus: pathology from the pandemic, Archives of pathology & laboratory medicine 141 (2016), no. 1, 49–59. | spa |
| dc.relation.references | Barret Schloerke, Jason Crowley, Di Cook, Francois Briatte, Moritz Marbach, Edwin Thoen, Amos Elberg, and Joseph Larmarange, Ggally: Extension to ’ggplot2’, 2018, R package version 1.4.0. | spa |
| dc.relation.references | Robert Somers, A similarity between goodman and kruskal’s tau and kendall’s tau, with a partial interpretation of the latter, Journal of the American Statistical Association 57 (1962), no. 300, 804–812. | spa |
| dc.relation.references | Robert Stine, An introduction to bootstrap methods: Examples and ideas, Sociological Methods & Research 18 (1989), no. 2-3, 243–291. | spa |
| dc.relation.references | Pang-Ning Tan, Vipin Kumar, and Jaideep Srivastava, Selecting the right objective measure for association analysis, Information Systems 29 (2004), no. 4, 293–313. | spa |
| dc.relation.references | Jason Tetro, Zika and microcephaly: causation, correlation, or coincidence, Microbes Infect 18 (2016), no. 3, 167–8. | spa |
| dc.relation.references | Marco Tomassini, Introduction to graphs and networks, Information Systems Department, HEC, University of Lausanne, Switzerland (2010). | spa |
| dc.relation.references | Walter Wallis, A beginner’s guide to graph theory, Springer Science & Business Media, 2010. | spa |
| dc.relation.references | Douglas West et al., Introduction to graph theory, vol. 2, Prentice hall Upper Saddle River, 2001. | spa |
| dc.relation.references | Hadley Wickham, ggplot2: Elegant graphics for data analysis, Springer-Verlag New York, 2016. | spa |
| dc.relation.references | Robin Wilson, Introduction to graph theory, vol. 107, Longman London, 1972. | spa |
| dc.relation.references | Kisung You, Networkdistance: Distance measures for networks, 2019, R package version 0.3.2. | spa |
| dc.relation.references | Qian Zhang, Kaiyuan Sun, Matteo Chinazzi, Ana Pastore Piontti, Natalie Dean, Diana Rojas, Stefano Merler, Dina Mistry, Piero Poletti, Luca Rossi, et al., Spread of zika virus in the americas, Proceedings of the National Academy of Sciences 114 (2017), no. 22, E4334–E4343. | spa |
| dc.rights | Derechos reservados - Universidad Nacional de Colombia | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.license | Atribución-NoComercial 4.0 Internacional | spa |
| dc.rights.spa | Acceso abierto | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | spa |
| dc.subject.ddc | 500 - Ciencias naturales y matemáticas | spa |
| dc.subject.proposal | Red | spa |
| dc.subject.proposal | Network | eng |
| dc.subject.proposal | Red dirigida | spa |
| dc.subject.proposal | Directed network | eng |
| dc.subject.proposal | Categorical data | eng |
| dc.subject.proposal | Datos categóricos | spa |
| dc.subject.proposal | Virus del Zika | spa |
| dc.subject.proposal | Zika virus | eng |
| dc.title | Identificación de la asociación entre variables con base en redes direccionadas: estudio de las variables obtenidas durante el brote de Zika en Colombia | spa |
| dc.title.alternative | Identification of variable association based on directed networks: Study of variables related with Zika virus outbreak in Colombia | spa |
| dc.type | Trabajo de grado - Maestría | spa |
| dc.type.coar | http://purl.org/coar/resource_type/c_bdcc | spa |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | spa |
| dc.type.content | Text | spa |
| dc.type.driver | info:eu-repo/semantics/masterThesis | spa |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | spa |
| oaire.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
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