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Modelos de datos de conteo para el estudio de datos de RNA-SEQ

Opened Access Modelos de datos de conteo para el estudio de datos de RNA-SEQ
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Autor: Córdoba Chamizo, Yolanda
Director: Barranco Chamorro, Inmaculada
Luque Calvo, Pedro Luis
Departamento: Universidad de Sevilla. Departamento de Estadística e Investigación Operativa
Fecha: 2015-06-24
Tipo de documento: Trabajo Fin de Grado
Titulación: Universidad de Sevilla. Grado en Matemáticas
Resumen: In this work we will explain the knowledge and techniques which are necessaries to work with RNA-Seq data, a technology used in order to detect and quantify the quantity of DNA of a genome. Firstly, in Chapter 1, we will explain the aforementioned technique and its importance nowadays, emphasizing its application in medicine. We will also compare it with another technology called microarrays. In order to carry out our study, we will need statistical specific models for data count. For this reason, we will explain the Generalized Linear Models (GLM) in Chapter 2, along with other necessary algorithms which estimate the parameters of GLM. Later we will focus on the most useful models for count data. We will obtain their probability distributions, will estimate the parameters and will give the interpretation of them. So we will study the Poisson regression model in Chapter 3, and subsequently, the negative binomial regression model, which is the most appropriate one when we have to dea...
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Tamaño: 1.938Mb
Formato: PDF

URI: http://hdl.handle.net/11441/40789

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