Low-Level and High-Level Microarray Data Analysis

Microarray data analysis involves low-level and high-level analysis.The low-level analysis focuses on how to get accurate and precisegene expression data. The analysis built on gene expression data isthe high-level analysis such as differential gene expressionanalysis, SFP detection, eQTL analysis and so on. This thesisfocuses on applications in both low-level and high-level analysis.In the low-level analysis, the proposed L-GCRMA method combines theadvantage of the GCRMA model and the Langmuir model to get a moreaccurate and precise gene expression data, especially at highconcentration. The simulation study and spike-in data analysisdemonstrates the advantage of proposed L-GCRMA model. In thehigh-level analysis, a well developed SEM algorithm is successfullyapplied to eQTL analysis and trait-gene association analysis