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Plos One
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August 27, 2009
Maximum entropy reconstructions of dynamic signaling networks from quantitative proteomics data
Jason W Locasale, Alejandro Wolf-Yadlin
Annual Review of Analytical Chemistry (Palo Alto, Calif.)
|
April 7, 2016
Methods for the Analysis of Protein Phosphorylation-Mediated Cellular Signaling Networks
Forest M White, Alejandro Wolf-Yadlin
Molecular & Cellular Proteomics : MCP
|
February 8, 2011
Lysate microarrays enable high-throughput, quantitative investigations of cellular signaling
Mark Sevecka, Alejandro Wolf-Yadlin, Gavin MacBeath
Current Opinion in Chemical Biology
|
August 8, 2009
Dissecting protein function and signaling using protein microarrays
Alejandro Wolf-Yadlin, Mark Sevecka, Gavin MacBeath
F1000Research
|
April 20, 2016
Technical advances in proteomics: new developments in data-independent acquisition
Alex Hu, William S Noble, Alejandro Wolf-Yadlin
Methods in Molecular Biology (Clifton, N.J.)
|
May 9, 2007
Quantitative proteomic analysis of phosphotyrosine-mediated cellular signaling networks
Yi Zhang, Alejandro Wolf-Yadlin, Forest M White
Plos Computational Biology
|
January 9, 2007
Modeling HER2 effects on cell behavior from mass spectrometry phosphotyrosine data
Neil Kumar, Alejandro Wolf-Yadlin, Forest M White, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
March 29, 2007
Multiple reaction monitoring for robust quantitative proteomic analysis of cellular signaling networks
Alejandro Wolf-Yadlin, Sampsa Hautaniemi, Douglas A Lauffenburger, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
July 22, 2017
Development of Selected Reaction Monitoring Methods to Systematically Quantify Kinase Abundance and Phosphorylation Stoichiometry in Human Samples
Kirsten Beck, Nathan Camp, Michael Bereman, et al.
Science Signaling
|
July 18, 2013
Receptor tyrosine kinases fall into distinct classes based on their inferred signaling networks
Joel P Wagner, Alejandro Wolf-Yadlin, Mark Sevecka, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 27) with videos related to
Sort By:
Page
of 3
Plos One
|
August 27, 2009
Maximum entropy reconstructions of dynamic signaling networks from quantitative proteomics data
Jason W Locasale, Alejandro Wolf-Yadlin
Annual Review of Analytical Chemistry (Palo Alto, Calif.)
|
April 7, 2016
Methods for the Analysis of Protein Phosphorylation-Mediated Cellular Signaling Networks
Forest M White, Alejandro Wolf-Yadlin
Molecular & Cellular Proteomics : MCP
|
February 8, 2011
Lysate microarrays enable high-throughput, quantitative investigations of cellular signaling
Mark Sevecka, Alejandro Wolf-Yadlin, Gavin MacBeath
Current Opinion in Chemical Biology
|
August 8, 2009
Dissecting protein function and signaling using protein microarrays
Alejandro Wolf-Yadlin, Mark Sevecka, Gavin MacBeath
F1000Research
|
April 20, 2016
Technical advances in proteomics: new developments in data-independent acquisition
Alex Hu, William S Noble, Alejandro Wolf-Yadlin
Methods in Molecular Biology (Clifton, N.J.)
|
May 9, 2007
Quantitative proteomic analysis of phosphotyrosine-mediated cellular signaling networks
Yi Zhang, Alejandro Wolf-Yadlin, Forest M White
Plos Computational Biology
|
January 9, 2007
Modeling HER2 effects on cell behavior from mass spectrometry phosphotyrosine data
Neil Kumar, Alejandro Wolf-Yadlin, Forest M White, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
March 29, 2007
Multiple reaction monitoring for robust quantitative proteomic analysis of cellular signaling networks
Alejandro Wolf-Yadlin, Sampsa Hautaniemi, Douglas A Lauffenburger, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
July 22, 2017
Development of Selected Reaction Monitoring Methods to Systematically Quantify Kinase Abundance and Phosphorylation Stoichiometry in Human Samples
Kirsten Beck, Nathan Camp, Michael Bereman, et al.
Science Signaling
|
July 18, 2013
Receptor tyrosine kinases fall into distinct classes based on their inferred signaling networks
Joel P Wagner, Alejandro Wolf-Yadlin, Mark Sevecka, et al.
Page
of 3