Author

Deepesh Agarwal

Harvard University

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Systems Biology· 1

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Assay:proteomics· 1 Approach:statistical model· 1

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Bryan P. Early· 1 shared Caroline J. DeHartiD· 1 shared Dan LüiD· 1 shared Galit LahaviD· 1 shared Jeremy GunawardenaiD· 1 shared Neil L. KelleheriD· 1 shared Paul M. ThomasiD· 1 shared Philip Daniel ComptoniD· 1 shared

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Bryan P. Early

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1 paper

Recent·Most cited

Systems BiologybioRxivPreprintOct 30, 2018

Analysing protein post-translational modform regions by linear programming

Deepesh Agarwal, Ryan T. Fellers, Bryan P. Early…·Jeremy Gunawardena

The paper uses linear programming to estimate modform distributions of proteins with multiple post-translational modifications, showing that combining bottom-up and top-down MS data reduces average modform range.

1 citation

proteomicsstatistical model

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