Título: Enabling GWAS Meta-Analysis through data quality management

Marco de Trabajo: Investigación

Área de desarrollo: Sistemas de Información

Autor: Lorena Etcheverry

Contacto: lorenae@fing.edu.uy

Día: JUEVES

Hora: 09:30

Palabras Claves: calidad de datos

Resumen:
In the GWAS domain, Meta-Analysis has gained in popularity, as it is considered a robust approach to tackle inherent statistical weaknesses of such studies. However, the application of meta-analysis requires dealing with several data quality related issues. This paper proposes a method for GWAS data quality management, which addresses the specification and evaluation of data quality properties and intends to deal with meta-analysis requirements.|