Integrating -omic Data Across Datasets and Layers

Explore cutting-edge techniques for integrating -omic data across datasets and layers in this informative conference talk by Casey Greene from the University of Colorado School of Medicine. Delve into the latest research on widespread redundancy in cancer mutation states' -omics profiles, the separation of common and specific transcriptional responses using generative neural networks, and the projection of genetic associations through gene expression patterns to highlight disease etiology and drug mechanisms. Gain insights from related papers and learn how these advanced approaches are revolutionizing our understanding of complex biological systems and their implications for cancer research and drug discovery.

Casey Greene | Integrating -omic data across datasets and layers | CGSI 2022