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: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2011-07-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC3140961?pdf=render |