BayesDeBulk: A New Method for Bulk Deconvolution Based on Proteogenomic Data
Introducing BayesDeBulk, a Bayesian method for estimating cell composition based on bulk proteomic and gene expression data. BayesDeBulk utilizes the information of known cell-type-specific markers without requiring prior knowledge of their absolute abundance. In this video, Francesca Petralia, PhD, discusses her group’s motivation for developing BayesDeBulk, explains the functionality and use cases for the platform, and gives a tech demo. LEARN MORE ABOUT HOW PROTEOGENOMICS IS CHANGING CANCER RESEARCH Office of Cancer Clinical Proteomics Research Homepage: https://dctd.cancer.gov/programs/occpr Clinical Proteomic Tumor Analysis Consortium Info Page: https://dctd.cancer.gov/research/netw... VISUALS ARE INCLUSIVELY NARRATED Important visual details are naturally described in this video’s main audio track. As such, a separate, audio-described version of this video is not provided. LEARN MORE FROM THE NATIONAL CANCER INSTITUTE Online: https://www.cancer.gov By Phone: 1-800-4-CANCER (1-800-422-6237) U.S. Department of Health and Human Services National Institutes of Health National Cancer Institute
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