Applications in Cancer Proteomic Biomarker Discovery and Validation

May 4th, 2014 | By | Category: Other, Systems Engineering

Applications in Cancer Proteomic Biomarker Discovery and ValidationResearchers: Ulisses Braga-Neto

This work, which is developed in collaboration with Drs. Edward Dougherty (Texas A&M), Michael Bittner (Translational Genomics), and Michelle Zhang (University of Texas at San Antonio), concerns the discovery and validation of proteomic biomarkers from protein-expression data, particularly data from high-throughput Liquid Chromatography-Mass Spectrometry (LC-MS) assays. This is part of the Partnesrhip for Personalized Medicine (PPM) cancer biomarker project, and takes advantage of TGen’s state-of-the-art facilities for LC-MS Proteomics. An early highlight of this research was the recent development of an accurate Bayesian method for peptide detection in LC-MS data, called BPDA.

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