Using Multi-Omics Data to Understand the Cancer Phenotype
Although cancer is caused by DNA mutations, cancer treatment focuses on the dysfunctional cellular state—including aberrant protein abundance and phosphorylation signaling—and requires a multi-omics perspective. In this webinar, Dr. Sam Payne will discuss proteogenomic data generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and methods for multi-omics data analysis.
This webinar is hosted by NCI’s Office of Cancer Clinical Proteomics Research (OCCPR). Registration is required. Please send questions to La’Toya.Kelly@nih.gov.
Dr. Sam Payne is an associate professor at Brigham Young University, and his current research focuses on cancer biology, algorithm design, and data integration.
Upcoming Events
- Predicting Patients’ Response to Immunotherapy from Tumor Histopathology and Blood: Computational Science in Immuno-oncologyJuly 08, 2025Assessing the Tumor Microenvironment with Systems Immunology: Computational Science in Immuno-oncologyAugust 21, 2025Data Jamboree: Enhancing Childhood Cancer Data Sharing and UtilitySeptember 29, 2025 - September 30, 2025NCI Office of Data Sharing’s Annual Data Sharing Symposium 2025: How Data Advances the Impact of Cancer ResearchSeptember 30, 2025 - October 01, 2025Childhood Cancer Data Initiative (CCDI) Symposium 2025October 06, 2025 - October 07, 2025