We analyze a generalization of Modern Hopfield networks that emerges naturally in the gene regulatory networks that control cellular identity. Here gene expression patterns correspond to stored memori...

Annotatability, a method to identify meaningful patterns in single-cell genomics data through annotation-trainability analysis, which estimates annotation congruence using a rich but often overlook...

The Annotatability framework analyzes neural network training dynamics to interpret single-cell and spatial omics data. It identifies erroneous annotations and ambiguous cell states, infers trajectori...

Annotatability, a method to identify meaningful patterns in single-cell genomics data through annotation-trainability analysis, which estimates annotation congruence using a rich but often overlook...

The Annotatability framework analyzes neural network training dynamics to interpret single-cell and spatial omics data. It identifies erroneous annotations and ambiguous cell states, infers trajectori...