A Simulation Study on High Density Oligonucleotide Microarray Data With Discussion of Normalization Methods

Autor: Wu, Hsiao-Ping, 吳小萍
Rok vydání: 2006
Druh dokumentu: 學位論文 ; thesis
Popis: 94
Microarray technology is now widely used in many areas of biomedical research. In this thesis, we are interested in the normalization for oligonucleotide Microarray data. We aimed to simulate more realistic oligonucleotide microarry data in order to compare different normalization methods. The data simulation was based on Li and Wong's model with a hierarchical setup for parameters. In order to compare normalization methods, 100 data sets were simulated data. The performance of ten normalization methods was assessed based on four comparison criteria. Simulation results suggest that our new proposed normalization method, LOESS to Average, is generally a better method than other normalization methods.
Databáze: Networked Digital Library of Theses & Dissertations