<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Alcohol drinking pattern analysis - an in silico tool to model and predict addictive behaviors"^^ . "We present methods for the systematic modelling and clustering of time series. Our data is\r\nassociated with behavioral studies of alcoholism in animals. We analyze multivariate time series\r\nobtained from an automated drinkometer system. Here, rats have free access to water and\r\nthree alcoholic solutions (this being the baseline treatment level), which is then interrupted by\r\nrepeated deprivation phases. We develop a methodology to simultaneously classify into- and\r\ncharacterize dynamic patterns of the observed drinking behavior. This is achieved by extending\r\nknown results on generalized linear models (GLM) for univariate time series to the multivariate\r\ncase. We simplify the computational fitting procedure, by assuming a shared seasonal pattern\r\nthroughout individuals and implementing an estimation maximization (EM) algorithm to fit\r\nmixtures of the mentioned multivariate GLM. A partition of the data, as well as a characterization\r\nof each group is obtained. The observed patterns of drinking behavior differ in their\r\npreference profile for the three alcoholic solutions, and also in the net alcohol intake. We observe\r\nan evolution of the drinking behavior over the repeated cycles of alcohol admission and\r\ndeprivation, with a clear initial preference profile and a development to one of the advanced\r\nprofiles. Furthermore, to measure the alcohol deprivation effect in this 4-bottle setting, a new\r\ncriterion is developed, which enables us to classify each rat into presenting ADE or not. This\r\nclassification shows that the rats develop a tolerance to taste adulteration after few deprivation\r\nphases. The proposed framework can be employed to find differences in behavior between different\r\nconditions and/or groups of animals and in the prediction of alcoholism from early phases\r\nof alcohol intake. The developed methods can also be used in different fields, where the analysis\r\nof time series plays an important role (e.g. microarray analysis and neuroscience)."^^ . "2012-11" . . . . . . . "Lilian"^^ . "Villarín Pildaín"^^ . "Lilian Villarín Pildaín"^^ . . . . . . "Alcohol drinking pattern analysis - an in silico tool to model and predict addictive behaviors (PDF)"^^ . . . "Villarin_thesis_nocover.pdf"^^ . . . "Alcohol drinking pattern analysis - an in silico tool to model and predict addictive behaviors (Other)"^^ . . . . . . "indexcodes.txt"^^ . . . "Alcohol drinking pattern analysis - an in silico tool to model and predict addictive behaviors (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Alcohol drinking pattern analysis - an in silico tool to model and predict addictive behaviors (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Alcohol drinking pattern analysis - an in silico tool to model and predict addictive behaviors (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Alcohol drinking pattern analysis - an in silico tool to model and predict addictive behaviors (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #14062 \n\nAlcohol drinking pattern analysis - an in silico tool to model and predict addictive behaviors\n\n" . "text/html" . . . "000 Allgemeines, Wissenschaft, Informatik"@de . "000 Generalities, Science"@en . . . "004 Informatik"@de . "004 Data processing Computer science"@en . . . "310 Statistik"@de . "310 General statistics"@en . . . "500 Naturwissenschaften und Mathematik"@de . "500 Natural sciences and mathematics"@en . . . "600 Technik, Medizin, angewandte Wissenschaften"@de . "600 Technology (Applied sciences)"@en . .