radioGWAS: link radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer

Abstract excerpt

Addressing the significant level of variability exhibited by pancreatic cancer necessitates the adoption of a systems biology approach that integrates molecular data, biological properties of the tumors, and clinical features of the patients. In this study, a comprehensive multi-omics methodology was employed to examine a distinctive collection patient dataset containing rapid autopsy tumor and normal tissue sampl...

Topics

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• Exome Sequencing
• Genome-Wide Association Study
• Mutation
• Pancreatic and Hepatic Oncology Research
• Pancreatic Neoplasms
• Phenotype
• Radiomics and Machine Learning in Medical Imaging
• Tomography, X-Ray Computed

Identifiers and source

Literature Corpus work

ab6e204b-c83e-5926-afe0-c880f88a8294

DOI

10.1101/2023.11.02.23297995