This was led by @EESeitz
, a former postdoc who was jointly advised by me and Justin Kinney at CSHL, and also in collaboration with David McCandlish @TheDMMcC
It's a beautiful followup to SQUID, our surrogate modeling approach to interpret genomic DNNs!
www.nature.com/articles/s42...
The intersection of genomics and deep learning shows promise for real impact on healthcare and biological research, but the lack of interpretability in terms of biological mechanisms is limiting utility and further development. As a potential solution, Koo et al. present SQUID, an interpretability framework built using domain-specific genomic surrogate models.
