Top 40
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Single-cell
Generative and causal models infer unobserved single-cell and spatial omics profiles
Recent preprints and publications pair diffusion, flow-matching and autoencoder models with spatial and perturbation single-cell data for inference.
Single-cell
Ground-truth benchmarks reshape evaluation of single-cell and spatial omics methods
Simulators with ground truth and defined titrations now let omics methods be judged against references rather than assumed performance.
Structural bio & protein design
Protein language models and graph networks predict dynamics, binding, and stability
Recent papers pair protein language model embeddings with physics or graph features for dynamics, binding-site, docking, and stability tasks.
ML / AI methods
Pretrained encoders with structural context drive RNA modification and siRNA prediction
Pretrained RNA and molecular language models now add structural accessibility and interpretability to nucleic acid prediction and design.
Epigenomics
Computational frameworks resolve gene expression dynamics and 3D genome organization
Recent preprints and publications apply geometric, telegraph, and graph-based models to single-cell and genomic data.