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Webb-Robertson BJ, Matzke MM, Datta S, et al. Bayesian Proteoform Modeling Improves Protein Quantification of Global Proteomic Measurements. Mol Cell Proteomics. 2014;doi: 10.1074/mcp.O113.030932.
Webb-Robertson, B. J., Matzke, M. M., Datta, S., Payne, S. H., Kang, J., Bramer, L. M., Nicora, C. D., Shukla, A. K., Metz, T. O., Rodland, K. D., Smith, R. D., Tardiff, M. F., McDermott, J. E., Pounds, J. G., & Waters, K. M. (2014). Bayesian Proteoform Modeling Improves Protein Quantification of Global Proteomic Measurements. Molecular & cellular proteomics : MCP, . https://doi.org/10.1074/mcp.O113.030932
Webb-Robertson, Bobbie-Jo M, et al. "Bayesian Proteoform Modeling Improves Protein Quantification of Global Proteomic Measurements." Molecular & cellular proteomics : MCP vol. (2014). doi: https://doi.org/10.1074/mcp.O113.030932
Webb-Robertson BJ, Matzke MM, Datta S, Payne SH, Kang J, Bramer LM, Nicora CD, Shukla AK, Metz TO, Rodland KD, Smith RD, Tardiff MF, McDermott JE, Pounds JG, Waters KM. Bayesian Proteoform Modeling Improves Protein Quantification of Global Proteomic Measurements. Mol Cell Proteomics. 2014 Aug 16; doi: 10.1074/mcp.O113.030932. Epub 2014 Aug 16. PMID: 25129695.
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