Author

Michael Peyton

The University of Texas Southwestern Medical CenterORCID 0009-0002-4170-9633Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrea CalifanoiD· 1 shared Archana Iyer· 1 shared Jing HeiD· 1 shared John Dorrance MinnaiD· 1 shared Manjunath KustagiiD· 1 shared Michael A. WhiteiD· 1 shared Michael J. Comb· 1 shared Mukesh BansaliD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperSystems Biology

Andrea CalifanoORCID

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1 paper

Recent·Most cited

Elucidating synergistic dependencies in lung adenocarcinoma by proteome-wide signaling-network analysis

Mukesh Bansal, Jing He, Michael Peyton, Manjunath Kustagi, Archana Iyer, Michael J. Comb, Michael A. White, John Dorrance Minna, Andrea Califano

The paper infers protein kinase pathways in lung adenocarcinoma using phosphotyrosine data and validates them with SILAC assays, revealing novel substrates and synergistic drug responses.

PLoS ONE · Jan 7, 2019Peer-reviewedSystems Biology