GDHC (General Dependency Hierarchical Clustering) is a method of hierarchical clustering for high throughput data. Nonlinear relations exist between features of high-throughput data. They reflect critical regulation patterns in the biological system. Clustering based on both linear and nonlinear relations in high throughput data is hampered by the high dimensionality and high noise level in the data.
- Linux / Windows / MacOsX
:: MORE INFORMATION
IEEE/ACM Trans Comput Biol Bioinform. 2013 Jul-Aug;10(4):1080-5. doi: 10.1109/TCBB.2013.99.
Hierarchical clustering of high-throughput expression data based on general dependences.
Yu T, Peng H