Inferring Biological Meaning from Cap Analysis Gene Expression Data

This project is inspired by the recent development of the Cap analysis gene expression (CAGE) method, which introduces new benefits to standard gene expression techniques such as being higher-throughput and more accurately mapping the transcription start sites.7 Building off of previous serial analysis of gene expression (SAGE) methods, I aim to extract biological meaning from the gene expression patterns, use module networks to find modules of co-regulated genes, and lay the foundations for future work in predicting gene expression using regression trees corresponding to regulation programs.1