Top 40
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Rank 1
ML / AI methods
Deep learning models for drug synergy, toxicity, and molecular property prediction
Multimodal and transfer-learning models now target synergy, kinetics, and toxicity endpoints, alongside new benchmarks for real-world applicability.
3 preprints · 11 published · ↑ 2.1× vs 4-wk avg
Rank 2 Single-cell
Computational methods infer gene regulatory networks and kinetics from single-cell data
Statistical and deep-learning frameworks now pair prior knowledge or explicit model structure with scalable estimation on single-cell and multi-omics data.
2 preprints · 9 published · ↑ 1.8× vs 4-wk avg
Rank 3 Systems biology
Learning models couple omics, pathology and spatial data to predict outcomes and subtypes
Heterogeneous omics, imaging and spatial inputs are now modelled jointly, from spatial QSP calibration to pancreatic precancer mapping.
2 preprints · 9 published · ↑ 1.8× vs 4-wk avg
Rank 4 ML / AI methods
PLM embeddings paired with structure for protein function and interaction prediction
Recent November 2025 entries apply protein language model embeddings across binding, allergenicity, lipid, and interaction prediction tasks.
2 preprints · 9 published · ↑ 1.8× vs 4-wk avg
Rank 5 Transcriptomics
Sequencing-based methods are benchmarked against noisy or indirect measurements
Nanopore basecalling, cfDNA-based expression inference, and enhancer modeling are being evaluated against orthogonal or noisy reference data.
3 preprints · 8 published · ↑ 1.8× vs 4-wk avg
Rank 6 Deep models predict methylation, TF binding and expression from sequence context↑ 1.6×EpigenomicsRank 7 Benchmarking and new tools for variant calling, CNV, and pangenome representation↑ 1.5×GenomicsRank 8 Temporal trajectories of spatial transcriptomic states inferred from multi-timepoint data↑ 1.5×TranscriptomicsRank 9 Pretrained and attention models extend RNA function and modification predictionML / AI methodsRank 10 Packaged pipelines and tools turn sequencing reads into taxonomic and functional resultsTools & infrastructureRank 11 Generative protein language models design antigen-binding antibodies and TCRs↑ 1.5×ML / AI methodsRank 12 Computational methods infer cell identity and lineage from single-cell and imaging dataSingle-cellRank 13 Graph and contrastive learning now target spatial transcriptomics domains and expressionTranscriptomicsRank 14 Statistical methods refine genetic association and variant-trait inferenceGenomicsRank 15 Benchmarks and simulation methods test RNA structure, ligand kinetics and nucleotide…Structural bio & protein designRank 16 Benchmarks expose scorer bias as structure-aware models advance binding predictionStructural bio & protein designRank 17 Learned and rule-based tools for genomic data preparation, simulation, and analysisTools & infrastructureRank 18 Software tools packaging single-cell, spatial, breeding and metabolic modeling methodsTools & infrastructureRank 19 Mobile genetic elements and gene variation mapped across bacterial genome collectionsGenomicsRank 20 Graph neural networks predict microbial, drug, and phage-bacterium associationsML / AI methods
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Rank 21 Language models and network methods predict hidden protein functional statesML / AI methodsRank 22 Methylome plasticity and transposon activity shape plant and human genome evolutionEpigenomicsRank 23 Graph and transformer networks integrate multi-omics data for disease predictionML / AI methodsRank 24 Open tools integrate multi-omics data and QC into reproducible analysis workflowsTools & infrastructureRank 25 AI tools extend structure prediction and analysis across biomolecular tasksStructural bio & protein designRank 26 Multimodal Deep Learning Advances Biomedical Prediction With Uncertainty EstimatesML / AI methodsRank 27 Deep learning and MS workflows predict and resolve protein modificationsProteomicsRank 28 Automated extraction and linkage of bioinformatics knowledge into structured resourcesTools & infrastructureRank 29 Algorithmic speedups for alignment, motif scoring, genome sizing and DNA storage readsTools & infrastructureRank 30 Post-association inference adapted for relatedness, method disagreement and specificityGenomicsRank 31 Systems models link brain network causality, neuronal metabolism, and callosal geneticsSystems biologyRank 32 Models refine interpretation of rare-disease, mitochondrial and KCNQ1 variantsGenomicsRank 33 Network and multiomics models nominate repurposing candidates from disease and target dataSystems biologyRank 34 TaxaGO adds phylogenetic context to gene ontology enrichment across speciesTools & infrastructureRank 35 Chromosome-level reference genomes for an annelid, cricket, and tachinid flyGenomicsRank 36 Generative, ligand-based, and covalent docking methods for small-molecule discoveryStructural bio & protein designRank 37 Mechanisms ViralStructural bio & protein design