Top 40
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Rank 1
Single-cell
Deep models infer gene regulation and RNA features from sequence and expression data
Single-cell and long-read transcriptomes now support learned models that predict regulatory, isoform and RNA modification states across tissues and species.
5 preprints · 5 published · ↑ 2.6× vs 4-wk avg
Rank 2 Epigenomics
Sequence models infer regulatory logic and 3D chromatin organization from DNA
Sequence-to-function models now decompose regulatory logic into interpretable rules and extend to 3D genome and chromatin-loop prediction.
4 preprints · 3 published · ↑ 2.2× vs 4-wk avg
Rank 3 ML / AI methods
Topology- and structure-aware learning for molecular stability and property prediction
Structure-aware models now couple geometry, topology, and pretrained embeddings to predict protein stability and molecular properties.
5 preprints · ↑ 2.1× vs 4-wk avg
Rank 4 ML / AI methods
LLM agents grounded in external resources for life-science reasoning and querying
Recent preprints and database papers test whether LLM agents can answer biomedical questions against curated, checkable resources.
2 preprints · 3 published · ↑ 1.8× vs 4-wk avg
Rank 5 Genomics
Machine-learning models target annotation-level errors in variant and gene calls
Reference annotations and population variant calls carry systematic errors, motivating targeted computational classifiers upstream of functional inference.
2 preprints · 2 published
Rank 6 Learned sequence models are used to design, accelerate, and evaluate biomoleculesML / AI methodsRank 7 Explicit probabilistic models of nuisance structure in expression measurement dataSingle-cellRank 8 AI-assisted curation builds drug-gene and protein-ligand interaction knowledge basesTools & infrastructureRank 9 Functional and statistical evidence converge to prioritize causal regulatory variantsGenomicsRank 10 Computational analyses of E. coli and soil microbes map metabolic and nutritional traitsML / AI methodsRank 11 Haplotype-based simulation and mitochondrial tools for population variant inferenceGenomicsRank 12 Computational models and databases dissecting tumour microenvironment and drug responseTools & infrastructureRank 13 Spatial and multi-omic computation resolves rare pathogenic cells and paracrine driversSingle-cellRank 14 Sequence-encoded conformational control in GPCR activation and viral protein analysisStructural bio & protein designRank 15 Learned encoders extend binding and bioactivity prediction to peptides and GPCRsStructural bio & protein designRank 16 Computed complexes and free energy methods now score protein-ligand and peptide bindingStructural bio & protein designRank 17 Computational tools refine nanopore RNA sequencing for fusions, UMIs, and chimerasTranscriptomicsRank 18 Tumor-only MSI calling and cancer omics databases broaden computational resourcesTools & infrastructureRank 19 LLM agents and knowledge graphs grounded in curated biomedical resourcesML / AI methodsRank 20 Statistical tools for multi-omics and microbiome association and integrationTools & infrastructure
Show 18 more
Rank 21 Learned models map imaging and omics data to individual risk and biological ageML / AI methodsRank 22 Coarse-grained RNA models add sugar pucker, ion and temperature effects to foldingStructural bio & protein designRank 23 Spatial context-aware models jointly denoise, impute, and map spatial gene expressionTranscriptomicsRank 24 Learned models expand protein conformational sampling and sequence-energy fittingStructural bio & protein designRank 25 Coordinate-based scoring and benchmarking of protein-protein interface qualityStructural bio & protein designRank 26 Curated genome databases pair quality metadata with predictive cultivation toolsTools & infrastructureRank 27 Standardized reference datasets paired with machine learning across omics and glycemic…ProteomicsRank 28 Automated pipelines convert raw sequence data into queryable, reusable genomic resourcesTools & infrastructureRank 29 Structural variation links to trait and metabolic variation in human and plant genomesGenomicsRank 30 Interactive platforms make million-cell and spatial transcriptomic atlases queryableTools & infrastructureRank 31 Curated resources map enhancers, chromatin proteins, and GWAS risk to cell typesTools & infrastructureRank 32 Graph-based brain network models span folding, aging, and structure-function couplingML / AI methodsRank 33 Curated databases organize antimicrobial, immunological, and synthetic biology partsML / AI methodsRank 34 Heterogeneous biological networks and databases prioritize drugs and flag cardiotoxicitySystems biologyRank 35 Correlated noise, short-term plasticity and replay shape neural representationsSystems biologyRank 36 Generative models now design proteins, enzymes and RNA by scoring sampled landscapesStructural bio & protein designRank 37 Quantifying error bounds and inference limits for stochastic biological dynamics modelsSystems biologyRank 38 Language models and LC-MS tools anticipate and annotate mammalian metabolitesMetabolomics