Top 40
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Transcriptomics
Statistical models address compositional, batch, and covariate structure in omics data
Omics methods now pair formal uncertainty quantification with covariate and compositional structure across single-cell, spatial, and microbiome data.
Genomics
New computational tools benchmark and extend genome-wide variant and structure analysis
Long-read, pangenome, and spatial datasets now underpin benchmarks and algorithms for copy number, structural variant, and methylation calling.
ML / AI methods
Multimodal deep learning couples histology, transcriptomics and spatial omics into…
Deep multimodal integration now spans histology, spatial transcriptomics, and patient-level prediction across recent preprints and papers.
ML / AI methods
Graph and language-model fusion for predicting biomolecular interaction and affinity
Protein language model embeddings and graph networks are now applied across binding, affinity, and self-assembly prediction tasks.
Tools & infrastructure
Open-source pipelines extend workflows to HiChIP, metagenomics, and viral consensus
Recent tools package reproducible workflows for sequencing, single-cell, imaging, and clinical data, increasingly as Nextflow pipelines.