Top 40
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Rank 1
Single-cell
Generative and language models decompose single-cell and spatial omics data
Recent preprints and journal papers extend deep generative and LLM approaches to annotation, spatial inference, and perturbation analysis in omics.
6 preprints · 13 published · ↑ 2.8× vs 4-wk avg
Rank 2 Structural bio & protein design
Diffusion and transformer generators for molecules and proteins add realism checks
Benchmarks against confirmed actives and synthesis-aware scoring now test whether generated designs are realistic, not merely produced.
6 preprints · 8 published · ↑ 2.1× vs 4-wk avg
Rank 3 Systems biology
Network models infer regulatory structure and integrate multi-omics features
Multi-omics and single-cell datasets now support network models that encode cross-feature and cross-modal dependencies for regulatory inference.
2 preprints · 12 published · ↑ 2.1× vs 4-wk avg
Rank 4 ML / AI methods
Learned models fuse histology, multi-omics and cfDNA features to predict tumor traits
Integrative models now couple histology, cfDNA fragmentation and spatial profiles with outcomes, extending learned integration beyond bulk omics.
4 preprints · 9 published · ↑ 2.0× vs 4-wk avg
Rank 5 ML / AI methods
Protein language model embeddings power diverse function and interaction predictors
Recent work reuses pretrained protein language model embeddings as inputs to task-specific predictors for function, binding, and peptide tasks.
3 preprints · 10 published · ↑ 2.0× vs 4-wk avg
Rank 6 Multimodal deep learning fuses sequence, structure and text for bioactivity prediction↑ 1.8×ML / AI methodsRank 7 Learned representations predict nucleic acid functional sites across diverse targets↑ 1.8×ML / AI methodsRank 8 Reproducible software now spans raw-read QC, taxonomy, and pathogen detection↑ 1.8×Tools & infrastructureRank 9 Deep networks predict regulatory states from sequence, methylation and genotype context↑ 1.5×EpigenomicsRank 10 Reproducible software for single-cell, methylation, and microbiome omics analysisTools & infrastructureRank 11 Learned models assign raw nanopore and sequencing measurements to discrete sourcesTools & infrastructureRank 12 Statistical tests of expression change along single-cell pseudotimeSingle-cellRank 13 Generative language models designing antibodies, TCRs, neoantigens, and mRNAML / AI methodsRank 14 Inferring cell type-specific splicing and enhancer regulation from functional readoutsEpigenomicsRank 15 Inferring cell fate and niche trajectories from sequential spatial transcriptomic slidesTranscriptomicsRank 16 Post-GWAS inference is adapted to relatedness, pathway specificity and gene rankingGenomicsRank 17 Network-based ML prioritizes repurposing candidates and predicts drug safety endpointsML / AI methodsRank 18 Computational biomolecular methods judged against experimental and reference dataStructural bio & protein designRank 19 Transformers and LLMs predict disease risk and impute or decode biomedical dataML / AI methodsRank 20 Structure-aware models predict complex binding while benchmarks expose scorer biasStructural bio & protein design
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Rank 21 Self-supervised networks learn representations of transcriptomic and tissue imaging dataML / AI methodsRank 22 Benchmarks and ML tools map viral host range from phage genomes and metagenomesTools & infrastructureRank 23 Benchmarking and new callers for structural, copy number and de novo variantsGenomicsRank 24 Benchmarking nanopore and single-cell sequencing methods for noisy measurementsSingle-cellRank 25 Methylation diversity shifts with temperature and long-read epiallele profilingGenomicsRank 26 Computational screening and generative design of bioactive small molecules and peptidesStructural bio & protein designRank 27 MD simulations map allosteric pathways in RNA recognition and RNA-protein bindingStructural bio & protein designRank 28 Untitled TopicGenomicsRank 29 Genome-wide profiling maps plasmid, phage and transposon exchange across bacteriaGenomicsRank 30 Tools mine literature and transcriptomes to build interpretable functional networksTools & infrastructureRank 31 Computational handling of PTMs and chemical modifications in MS-based proteomicsProteomicsRank 32 Simulations link resistance development and dosing to antibiotic treatment outcomesSystems biologyRank 33 Learned models span crystal imaging, genome annotation, and AlphaFold domain parsingStructural bio & protein designRank 34 Accessible software delivers spatial, metabolic, breeding, and tweezers analysis toolsTools & infrastructureRank 35 Connectivity and surface geometry as constraints in brain imaging modelsTools & infrastructureRank 36 Modeling neural variability and EEG decoding with Bayesian and data-driven methodsSystems biologyRank 37 Mechanisms ViralStructural bio & protein designRank 38 Computational methods refine interpretation of structural and sequence variantsGenomicsRank 39 Computational inference of microbial enzyme and metabolic function across genomesMetabolomicsRank 40 Open-source tools turn omics profiles into network and functional interpretationsMetabolomics