Top 40
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Rank 1
Transcriptomics
Explicit models extract spatial gene structure from transcriptomics and histology images
Foundation models and spatially aware statistics are now applied to spatial transcriptomics at scale, including Novae, trained on ~30M cells.
10 preprints · 3 published · ↑ 4.0× vs 4-wk avg
Rank 2 Structural bio & protein design
Simulations resolve DEAD-box helicase conformational ensembles and modular architecture
Scattering and in vivo data are now coupled to modeled state populations, sharpening mechanistic claims for flexible biomolecular systems.
3 preprints · 2 published · ↑ 2.7× vs 4-wk avg
Rank 3 ML / AI methods
Self-supervised embeddings retain biological structure across omics and imaging data
Recent preprints couple autoencoders, contrastive objectives, and graph models to heterogeneous omics and clinical data, with domain constraints built in.
9 preprints · 1 published · ↑ 2.4× vs 4-wk avg
Rank 4 Tools & infrastructure
Assay-specific workflows refine processing of long-read, single-cell and variant data
Recent preprints target preprocessing bottlenecks in long-read, single-cell, and variant-truth workflows, reporting runtime reductions and accuracy gains.
9 preprints · ↑ 1.9× vs 4-wk avg
Rank 5 Structural bio & protein design
MD Simulations Map Distal Energy Channels and Ligand Recognition Interfaces
Microsecond MD and multiscale simulations now resolve distal, electrostatic, and interface contributions to protein energetics.
2 preprints · 1 published · ↑ 1.6× vs 4-wk avg
Rank 6 Generative and learned models address scarce annotations in biomedical cell imagingML / AI methodsRank 7 Benchmarks and models predict transcriptional responses to genetic and drug perturbationsSingle-cellRank 8 Open computational tools for atom provenance, stereochemistry, and molecular assemblyMetabolomicsRank 9 Haplotype and recombination structure carried into association and prediction toolsGenomicsRank 10 Curated references and coverage-aware models refine microbiome taxonomic profilingTools & infrastructureRank 11 Structure-guided ssDNA design and differentiable RNA energy parameter estimationStructural bio & protein designRank 12 Benchmarking how protein and complex structure encodings perform in affinity predictionStructural bio & protein designRank 13 Explicit frameworks formalize cortical mapping, fly vision, and neural decoding↑ 1.6×Systems biologyRank 14 Software tools connect omics outputs to candidate genes, enzymes and expression dataTools & infrastructureRank 15 Systematic evaluation of analytical choices in single-cell RNA-seq analysisSingle-cellRank 16 LLM agents automate genomic, transcriptomic, and single-cell data interpretationML / AI methodsRank 17 Simulated ground truth benchmarks evaluate sequencing analysis tools across methodsTools & infrastructureRank 18 Sequence criteria refine bacterial taxonomy and detect mutations and gene transferGenomicsRank 19 GWAS frameworks now separate pleiotropy, epistasis and gene-environment effectsGenomicsRank 20 Single-cell transcriptomes map cell-type-specific regulation, disease risk, and…Single-cell
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Rank 21 Uncertainty, conformal control, and ADMET models refine deep learning compound screeningML / AI methodsRank 22 k-mer indexing and sketching methods for storage, mapping, and ancient DNA authenticationGenomicsRank 23 Multimodal and genomic models predict oncologic outcomes and actionable cancer driversML / AI methodsRank 24 Computational inference of protein localization and secretory function from proteomicsProteomicsRank 25 Generative augmentation and multidomain transfer for peptide immunogenicity predictionML / AI methodsRank 26 Benchmarked scoring of transcriptomic features across bulk, single-cell and spatial dataSystems biologyRank 27 Neural surrogates trained on mechanistic reaction and metabolic dynamicsSystems biologyRank 28 Software platforms standardize, visualize and benchmark omics analysis outputsTools & infrastructureRank 29 Computational methods refine variant calls, annotation, and curation after detectionGenomicsRank 30 Adapted language-model features predict glycation sites, acidophilic proteins, promotersML / AI methodsRank 31 Privacy-preserving and scalable mixed-model methods for genome-wide association analysisGenomicsRank 32 Multi-omic data map context-specific regulatory effects on traits and diseaseSystems biologyRank 33 Benchmarked simulation and screening choices for GPCR activation and drug residence timeStructural bio & protein designRank 34 Benchmarks and tools for statistical and ML analysis of omics and rhythm dataML / AI methodsRank 35 Long-read and single-cell methods pair with comparative analysis of genome architectureEpigenomicsRank 36 ML and simulations reveal GPCR activation pathways and lipid allosteric bindingStructural bio & protein designRank 37 Chromosome-scale assemblies link transposons and structural variation to genome sizeGenomicsRank 38 Structure-conditioned generative design extends to nucleases and antibody repertoiresStructural bio & protein designRank 39 Reference genome quality shapes single-nucleus, variant, and stress-trait genomic analysesGenomicsRank 40 Force fields and environment-resolved sampling refine ion, pH and torsional energeticsStructural bio & protein design