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Proteogenomic analysis of Uterine Corpus Endometrial Carcinoma (January 14, 2020)
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Agenda & Slides
This month Emily Kawaler presented the consortium's proteogenomic analysis of the Uterine Corpus Endometrial Carcinoma (UCEC) cohort. This deep dive into the UCEC genomic and proteomic datasets will help researchers better understand how
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they can be correlated with features derived from the imaging data.
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Webex Details:
Tuesday, Jan 14, 2020 12:00 pm | 1 hour | (UTC-05:00) Eastern Time (US & Canada)
https://cbiit.webex.com/cbiit/j.php?MTID=mcad1839a0555c51210dac7b10549fdb8
Meeting number: 732 017 821
Password: DxhwwM3*
Phone: 1-650-479-3207 Call-in toll number (US/Canada)
Access code: 732 017 821(Download the slides)
Imaging-Omic correlation studies utilizing CPTAC data (September 9, 2019)
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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
- Welcome (Bob Nordstrom)
- Clinical Proteomic Tumor Analysis Consortium (CPTAC) Project Overview (Chris Kinsinger, 15min)
- CPTAC radiology & pathology image data at TCIA – live demo (Justin Kirby, 15min)
- CPTAC Data Portal and the Proteomics Data Commons (R. Rajesh Thangudu, 30min)
- CPTAC genomic data at the Genomics Data Commons (Ana Robles, 15min)
- Q&A (15min)