Impact of normalization and filtering on linkage analysis of gene expression dataReportar como inadecuado




Impact of normalization and filtering on linkage analysis of gene expression data - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

BMC Proceedings

, 1:S150

First Online: 18 December 2007DOI: 10.1186-1753-6561-1-S1-S150

Cite this article as: Beyene, J., Hu, P., Parkhomenko, E. et al. BMC Proc 2007 1Suppl 1: S150. doi:10.1186-1753-6561-1-S1-S150

Abstract

Using the Problem 1 data set made available for Genetic Analysis Workshop 15, we assessed sensitivity of linkage results to a correlation-based feature extraction method as well as to different normalization procedures applied to the raw Affymetrix gene expression microarray data. The impact of these procedures on heritability estimates and on expression quantitative trait loci are investigated. The filtering algorithm we propose in this paper ranks genes based on the total absolute correlation of each gene with all other genes on the array and has the potential to extract features that may play role in functional pathways and gene networks. Our results showed that the normalization and filtering algorithms can have a profound influence on genetic analysis of gene expression data.

Download fulltext PDF



Autor: Joseph Beyene - Pingzhao Hu - Elena Parkhomenko - David Tritchler

Fuente: https://link.springer.com/







Documentos relacionados