MCAM: Multiple Clustering Analysis Methodology for Deriving Hypotheses and Insights from High-Throughput Proteomic Datasets
Advances in proteomic technologies continue to substantially accelerate capability for generating experimental data on protein levels, states, and activities in biological samples. For example, studies on receptor tyrosine kinase signaling networks can now capture the phosphorylation state of hundre...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Public Library of Science
2011
|
| Online Access: | http://hdl.handle.net/1721.1/66157 https://orcid.org/0000-0002-1545-1651 https://orcid.org/0000-0002-9038-1622 https://orcid.org/0000-0002-9547-3251 |