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Proteogenomic analysis of Clear Cell Renal Cell Carcinoma (February 4, 2020)

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Agenda & Slides

Dr. David Clarke presents the consortium's proteogenomic analyses of the CPTAC Clear Cell Renal Cell Carcinoma (CCRCC) cohort.  This deep dive into the CCRCC genomic and proteomic datasets will help researchers better understand how these can be correlated with features derived from the imaging data. (Download the slides)  

Proteogenomic analysis of Uterine Corpus Endometrial Carcinoma (January 14, 2020)

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Agenda & Slides

Emily Kawaler presents the consortium's proteogenomic analyses of the Uterine Corpus Endometrial Carcinoma (UCEC) cohort.  This deep dive into the UCEC genomic and proteomic datasets will help researchers better understand how they can be correlated with features derived from the imaging data. (Download the slides)

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Agenda & Slides

1) Dr. Olivier Gevaert is an assistant professor at Stanford University focused on developing machine-learning methods for biomedical decision support from multi-scale data. His lab lab develops machine learning methods including Bayesian, kernel methods, regularized regression and deep learning to integrate, clinical, molecular and biomedical image data.  His presentation will show an example of how to process proteomic data from CPTAC Phase 2 projects (breast, ovarian and colorectal) with emphasis on how to use, preprocess and subsequently model proteomic data using bioinformatics algorithms. He will show an example of linking protein data to DNA methylation and mRNA gene expression data, and how proteomic data can be integrated with medical image data. (Download the slides)

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Agenda & Slides