Methodology for estimating association between categorical variables with application to Genome-wide association studies (GWAS)

Several genomic data analysis contexts have a large number of statistical hypotheses, which are tested simultaneously. When the association between categorical phenotypes (i.e. healthy and not healthy) and Single Nucleotide Polymorphisms (SNPs) are ssessed by applying statistical tests, the two key...

Full description

Autores:
Cortés Muñoz, Fabián
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2019
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/77356
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/77356
http://bdigital.unal.edu.co/75041/
Palabra clave:
Genome-wide association studies
Multiple testing problem
categorical data data
Type I error
Statistical power
Estudios de asociación del genoma completo
Problemas de comparaciones múltiples
Datos categóricos
Error tipo I
Potencia estadística
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional