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...

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Detalhes bibliográficos
Principais autores: Naegle, Kristen Marie, White, Forest M., Welsch, Roy E, Yaffe, Michael B, Lauffenburger, Douglas A
Outros Autores: Massachusetts Institute of Technology. Department of Biological Engineering
Formato: Artigo
Idioma:en_US
Publicado em: Public Library of Science 2011
Acesso em linha: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

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