Top 40
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BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
ML / AI methods
Graph and transformer models integrate multi-omics data for prediction tasks
Multi-omics inputs are increasingly paired with graph and transformer architectures for drug response, subtype, and diagnostic prediction.
1 preprint · 4 published · ↑ 2.1× vs 4-wk avg
Rank 2 Systems biology
Inference in noisy biological data hinges on conditioning, structure, and benchmarks
Model identification methods are being tested against the points where noisy biological inference fails, and the failure modes differ by data type.
4 preprints · 1 published · ↑ 2.1× vs 4-wk avg
Rank 3 Structural bio & protein design
Desolvation and sequence-encoded energetics shape condensate interfaces and phase behavior
Recent computational studies quantify how sequence-level thermodynamics and desolvation govern IDP condensate partitioning and multicomponent phase behavior.
3 preprints · ↑ 2.0× vs 4-wk avg
Rank 4 Single-cell
Computational methods refine upstream single-cell and spatial transcriptomics data quality
Upstream choices in cell assignment, clustering and annotation shape the reliability of downstream single-cell and spatial inference.
6 preprints · 2 published · ↑ 1.8× vs 4-wk avg
Rank 5 Single-cell
Benchmarks and reference resources for single-cell and cell-free genomic profiling
Benchmarks of cfRNA deconvolution, cfDNA fragmentomics, and sequencing platforms now test methods on clinical and FFPE samples.
9 preprints · 1 published · ↑ 1.6× vs 4-wk avg
Rank 6 Structural constraints shape sequence evolution from proteins to bacterial populations↑ 1.8×GenomicsRank 7 Predicted structures guide design and screening of pathogen and immune-targeting molecules↑ 1.7×Structural bio & protein designRank 8 New computational tools are tightening confidence in proteomic identification↑ 1.7×ProteomicsRank 9 Probing internals and conditioning inputs of biological foundation and generative models↑ 1.8×ML / AI methodsRank 10 Computational methods link chromatin architecture and methylation to gene regulation↑ 1.6×EpigenomicsRank 11 Calibrated and learning-based inference from genotype data under realistic sample sizes↑ 1.6×GenomicsRank 12 Probing failure modes and validation design in sequence-based genomic prediction models↑ 1.6×ML / AI methodsRank 13 Generative sequence and molecule design paired with explicit feasibility and affinity…Structural bio & protein designRank 14 Established viral and phylogenetic analyses are being packaged as scalable workflowsTools & infrastructureRank 15 Graph and language embeddings fused for drug, target and synergy predictionML / AI methodsRank 16 Machine learning designs peptides and screens compounds against resistant pathogensML / AI methodsRank 17 Sequence language models advance via baselines, leakage control and tokenizationML / AI methodsRank 18 Retrieval and transfer learning models predict unseen cellular perturbation responsesSingle-cellRank 19 Quantum reference data guides parameterization of biomolecular energy modelsStructural bio & protein designRank 20 Generative and physics-informed models sample biomolecular conformational ensemblesStructural bio & protein design
Show 20 more
Rank 21 Protein embeddings paired with evolutionary and structural features for predictionML / AI methodsRank 22 Scalable algorithms and models for assembly graphs, ecDNA cycles, and gene annotationGenomicsRank 23 Inhibitory balance and bursting constrain neuronal input-output and synaptic weightsSystems biologyRank 24 Computational methods recover spatial gene patterns and tissue structure from sparse dataTranscriptomicsRank 25 Packaged, scalable software tools for biological image and omics data analysisTools & infrastructureRank 26 Latent models infer single-cell dynamics from lineage, spatial and temporal structureML / AI methodsRank 27 Quantitative models relate interaction structure to behavior across biological systemsSystems biologyRank 28 Computational atlases map protein and receptor-G protein interactions at scaleStructural bio & protein designRank 29 Structure-derived geometry predicts functional binding and metal sites without homologyStructural bio & protein designRank 30 Computational scoring of BCR and TCR repertoires paired with multimodal immune dataSingle-cellRank 31 Automated software tools streamline high-throughput biomolecular and microscopy analysisProteomicsRank 32 Quantile, splicing, and lncRNA analyses reveal context-specific genetic regulation of…GenomicsRank 33 Computational methods for single-cell atlases, ODE fitting, and peptide space selectionSingle-cellRank 34 Charge and sequence effects on flexible protein conformational ensemblesStructural bio & protein designRank 35 Dynamical neural models link learning, spiking control, and deliberation dynamicsSystems biologyRank 36 Chromosome-level assemblies across nematode, grass, lion and turtle genomesGenomicsRank 37 Computational classification of bacterial outer membrane and metallophore diversityGenomicsRank 38 New copy number and instability callers for long-read, ctDNA and scATAC dataTools & infrastructureRank 39 Thermodynamic and mechanical constraints shape waves, membranes, and cell volumeSystems biologyRank 40 Latent structure inferred from neural population activity and RNN weightsSystems biology