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...
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 |
Registros relacionados
-
Robust co-regulation of tyrosine phosphorylation sites on proteins reveals novel protein interactions
por: Naegle, Kristen Marie, et al.
Publicado em: (2014) -
An integrated comparative phosphoproteomic and bioinformatic approach reveals a novel class of MPM-2 motifs upregulated in EGFRvIII-expressing Glioblastoma Cells
por: Naegle, Kristen Marie, et al.
Publicado em: (2011) -
Reproducible Analysis of Post-Translational Modifications in Proteomes--Application to Human Mutations.
por: Alex S Holehouse, et al.
Publicado em: (2015-01-01) -
Computational methodologies and resources for discovery of phosphorylation regulation and function in cellular networks
por: Naegle, Kristen M
Publicado em: (2011) -
Expression of the Cell Adhesion Molecule CD146/MCAM in Non-Small Cell Lung Cancer
por: Glen Kristiansen, et al.
Publicado em: (2003-01-01)