Top 40
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Transcriptomics
Graph-based learning extends spatial transcriptomics to imputation, denoising and 3D
Paired histology and spatial expression data now support graph and implicit models for imputation, denoising, and 3D reconstruction.
ML / AI methods
Omics machine learning benchmarks test generalization across populations and modalities
Recent benchmarks shift omics model evaluation toward subgroup disparities, cross-modality transfer, and large-scale pipeline comparisons.
ML / AI methods
Sequence-based deep models predict gene regulation and chromatin features from DNA
Deep sequence models are now being tested for regulatory predictability, methylation context and chromatin looping, not just expression prediction.
Tools & infrastructure
Open-source software for methylation, cancer genomics, and regulatory analysis
Recent June 2026 releases pair reproducible Snakemake workflows with LLM-assisted metadata extraction and new imputation and mapping methods.
Structural bio & protein design
Benchmarks expose limits of learned models for disordered proteins and complexes
Recent work benchmarks structure predictors and foundation models against experimental and simulation data.