Top 40
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Epigenomics
Sequence and network models advance prediction of TF binding and chromatin insulation
June 2026 preprints and papers apply deep learning and graphical models to regulatory prediction tasks.
Single-cell
Benchmarks expose method-dependent variability in single-cell and spatial transcriptomics
Preprints and published work now quantify analytic instability in single-cell and spatial workflows while proposing corrective and interpretive methods.
ML / AI methods
Multimodal pretrained models learn molecular, protein, and cellular representations
Recent work fuses graph, text, sequence, structure, and microscopy views with noise-aware and retrieval-based training for property and interaction prediction.
Structural bio & protein design
Learned models now predict binding, design and specificity from structure and sequence
Several new predictors for binding, design and property tasks rely on protein language model embeddings or 3D structure inputs.
Transcriptomics
Computational bridging of spatial measurements across modalities, platforms and species
Foundation-model priors and optimal transport now connect routine H&E histology to spatial transcriptomic and proteomic measurements.