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...
| প্রধান লেখক: | , , , , |
|---|---|
| অন্যান্য লেখক: | |
| বিন্যাস: | প্রবন্ধ |
| ভাষা: | en_US |
| প্রকাশিত: |
Public Library of Science
2011
|
| অনলাইন ব্যবহার করুন: | 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 |