Methods Database

Method Development

The emergence of "omics" science presented challenges in data analysis, both in integrating multiple modes of assays (DNA, RNA, proteins, and everything else) and in integrating heterogeneous, independent datasets (such as multi-center cohorts in clinical studies). We identified the core problems are in the following area:

Expression Data Collection and Curation

Although omics data can viewed as a big matrix of concatenated data with multiple variables (and modes of assays) and samples (from many studies), tremendous effort is required to reformat and standardize mostly unstructured raw data (both private and public) before they can be considered "statistician friendly". We have developed capabilities to collect and curate microarray datasets, with emphasis in the following aspects: