A hierarchical cross-entropy loss is presented, which incorporates ontology structure into training and improves the out-of-distribution performance of large-scale single-cell annotation models withou...

A hierarchical cross-entropy loss is presented, which incorporates ontology structure into training and improves the out-of-distribution performance of large-scale single-cell annotation models withou...

The science he helped pioneer consistently undermines his view that genes determine everything about us.

The sparse marginal epistasis test overcomes computational limitations of previous mapping approaches by focusing its epistatic search to regions of the genome that have some known functional relation...

Nature Reviews Genetics, Published online: 10 March 2025; doi:10.1038/s41576-025-00821-6Differences between humans and experimental models create a translational gap that makes it difficult to extrapolate research findings. The authors review…

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