High-dimensional genomic and proteomic data are now commonplace in cancer research. This Review aims to help biologists understand the properties of high-dimensional data spaces and how these affect our ability to derive meaningful information from the data.
- Robert Clarke
- Habtom W. Ressom
- Yue Wang