Top 40
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Transcriptomics
H&E histology models predict spatial gene expression at single-cell resolution
Multiple foundation and generative models now infer in-situ expression from H&E images, coupling histology with molecular priors for cellular resolution.
ML / AI methods
Pretrained sequence models are reused as representations for RNA, DNA, and protein tasks
Recent preprints and papers test layer choice, interpretability, and transfer of foundation-model embeddings across RNA, DNA, and protein prediction.
Transcriptomics
Computational methods infer copy number, splicing and fusions from transcriptome data
Recent preprints and papers apply deep learning, simulation and long-read benchmarks to transcriptome-derived inference of genomic and splicing features.
ML / AI methods
Multimodal fusion models advance drug, protein, and molecular property prediction
Recent August 2026 preprints and publications integrate LLM-derived text, genomic embeddings, and graph neural networks into biomedical interaction and…
Proteomics
Validated computational frameworks for omics measurement processing and interpretation
Reference-based benchmarks now test omics normalisation, imputation, and scoring tools against defined ground truth across platforms.