Multiomics Integration: Methods and Caveats

Abstract

Integrating genomics, transcriptomics, and proteomics promises a fuller picture of biology, but that’s also where the hard part starts. This talk surveys the major integration approaches (fusion methods, matrix factorization, deep learning) and the pitfalls that trip people up: batch effects, mismatched scales, missing modalities, and patterns that look real but aren’t. You’ll leave knowing what multiomics integration can deliver, where it breaks down, and how to tell the difference.