Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Transcriptomics
Computational methods reconstruct and align spatial transcriptomic tissue measurements
High-resolution spatial transcriptomics data now demand methods that reconstruct, align, and interpret tissue expression across scales and modalities.
ML / AI methods
Variational autoencoders and diffusion models are applied to neural and omics data
Generative and representation models are being adapted to noisy neural, single-cell, and clinical data with missing modalities and site shifts.
Single-cell
Learned models infer cell-context splicing and cross-species single-cell alignment
Learned models are moving from single-gene annotation toward representations of regulatory context across cell types and species.
Structural bio & protein design
Scalable physics-based and generative methods for protein-ligand binding prediction
Free energy calculations and virtual screening are being reformulated for computational tractability, while generative design increasingly targets…
ML / AI methods
Testing whether single-cell transformer attention and embeddings capture regulatory…
Single-cell foundation models are being checked for whether their attention and embeddings carry the regulatory structure their metrics imply.