A strategy for meta-analysis of short time series microarray datasets

1. Abstract 2. Introduction 3. Materials and Methods 3.1 Data collection and preprocessing 3.2 Differential expression analysis in each dataset 3.3 Meta-analysis and identification of commonly transient heat stress sensitive genes 3.4 Selective combination of time series data for further bioinformatic analysis 3.5 Clustering method and promoter analysis 4. Results 4.1 Collection of short time series microarray datasets 4.2 Differential expression analysis in each dataset 4.3 Meta-analysis and identification of commonly transient heat stress sensitive genes (CTHS genes) 4.4 Combination of time series data finds overall genetic response tendency 4.5 Clustering analysis of a case category identifies detailed response trends 4.6 Promoter analysis of different heat shock elements 5. Discussion 6. Summary 7. Acknowledgement 8. References