Learning signaling network structures with sparsely distributed data
Flow cytometric measurement of signaling protein abundances has proved particularly useful for elucidation of signaling pathway structure. The single cell nature of the data ensures a very large dataset size, providing a statistically robust dataset for structure learning. Moreover, the approach is...
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Mary Ann Liebert, Inc.
2010
|
| Online Access: | http://hdl.handle.net/1721.1/60319 |