1 citations · 1 across the 3 of their papers we have counts for
3 papers
Self-supervised learning predicts plant growth trajectories from multi-modal industrial greenhouse data
Adam J Riesselman, Evan M Cofer, Therese LaRue +1
Quantifying organism-level phenotypes, such as growth dynamics and biomass accumulation, is fundamental to understanding agronomic traits and optimizing crop production. However, q…
Deep generative models of genetic variation capture mutation effects
Adam J. Riesselman, John B. Ingraham, Debora S. Marks
The functions of proteins and RNAs are determined by a myriad of interactions between their constituent residues, but most quantitative models of how molecular phenotype depends on…
3D RNA and functional interactions from evolutionary couplings
Caleb Weinreb, Adam J. Riesselman, John B. Ingraham +3
Non-coding RNAs are ubiquitous, but the discovery of new RNA gene sequences far outpaces research on their structure and functional interactions. We mine the evolutionary sequence…