Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
ML / AI methods
Fusing language model embeddings with graph learning for biomedical prediction tasks
Pretrained language and foundation-model embeddings are now routinely fused with graph and sequence architectures for biomedical prediction.
2 preprints · 10 published · ↑ 2.1× vs 4-wk avg
Rank 2 Single-cell
Leakage-aware benchmarks test omics inference methods across single-cell and bulk data
Method papers are multiplying across omics modalities, so reproducible, explicitly evaluated benchmarks and frameworks are needed to compare them.
7 preprints · 4 published · ↑ 2.0× vs 4-wk avg
Rank 3 Genomics
Reproducible workflows for long-read metagenome and genome analysis from Nanopore data
Recent preprints and publications pair long-read and Nanopore data with reproducible, benchmarked workflows for assembly, classification, and annotation.
6 preprints · 4 published · ↑ 1.9× vs 4-wk avg
Rank 4 Epigenomics
New computational methods for single-cell epigenomic and transcriptomic inference
Preprints and papers from March 2026 add graph, transformer, and methylation-aware models for single-cell and spatial datasets.
6 preprints · 4 published · ↑ 1.9× vs 4-wk avg
Rank 5 Structural bio & protein design
Software converts indirect biological data into validated, quantitative outputs
Recent March 2026 preprints benchmark or calibrate new computational tools across structural, omics, and dynamical-model problems.
9 preprints · ↑ 1.7× vs 4-wk avg
Rank 6 Latent dynamical and transport models reconstruct single-cell trajectories and states↑ 1.6×Single-cellRank 7 Generative models design peptides, aptamers, mRNA, and drug-like molecules under explicit…ML / AI methodsRank 8 Computed atlases map protein interactions using structure prediction and learned scoringML / AI methodsRank 9 Pretrained sequence language models tested for mutational and localisation predictionML / AI methodsRank 10 Computational tools for correcting contamination and barcoding in single-cell sequencingSingle-cellRank 11 Scalable, reproducible software for bioimage and GROMACS output analysisTools & infrastructureRank 12 Structure-based pipelines design epitopes, binders, and antiviral candidates in silicoStructural bio & protein designRank 13 LLM agents extract, verify and reanalyze structured records from biomedical literatureML / AI methodsRank 14 ML models infer cell types and cancer from fragmentomic and single-cell dataGenomicsRank 15 ML and multimodal profiling refine immune receptor clonality and antigen specificitySingle-cellRank 16 Models infer epistasis, plasticity, and constraints from network and passaging dataSystems biologyRank 17 Genomic resources and tools feeding variant prioritisation and polygenic risk predictionGenomicsRank 18 Adversarial alignment transfers deep models across scarce or heterogeneous omics dataML / AI methodsRank 19 Quantum-accurate force fields and charges made scalable via GPU and ML potentialsStructural bio & protein designRank 20 Learned representations reused for perturbation, DNA design, and model interpretationML / AI methods
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Rank 21 Statistical detectors for microsatellite instability, CNVs, and essential genesTools & infrastructureRank 22 Phylogenomic methods refine genome windows, codon models, and evolutionary constraintsGenomicsRank 23 Chromosome-level assemblies across hydrozoan, nematode, turtle, grass and lion genomesGenomicsRank 24 MD simulations link phosphorylation and sequence changes to binding and disorderStructural bio & protein designRank 25 Software tools for phylogenetic, viral consensus, and pangenome graph analysisTools & infrastructureRank 26 Bacterial genomic tools refine taxonomy and metallophore and outer membrane predictionsGenomicsRank 27 Uncertainty-aware learned models for molecular and protein-ligand binding predictionML / AI methodsRank 28 Structural and chemical priors steer protein site and enzyme predictionStructural bio & protein designRank 29 Sequence rules set condensate phase behavior and interfacial β-sheet nucleationStructural bio & protein designRank 30 Correcting and benchmarking genomic estimators against specific data distortionsGenomicsRank 31 Energy-based and latent dynamical models link neural activity to inference and controlSystems biologyRank 32 Deep learning for spectral, phosphoproteome and binding-affinity predictionMetabolomicsRank 33 Simulations link knot depth, transporter dynamics, and CheY thermal stabilityStructural bio & protein designRank 34 Neuron network models tie E-I balance, burst firing, and synaptic weight attractorsSystems biologyRank 35 Rescoring and statistical models refine peptide and protein-level proteomics inferenceProteomicsRank 36 Calibrated mechanistic models quantify tumor treatment response and resistanceSystems biologyRank 37 Learned embeddings and RBMs infer latent neural dynamics from population recordingsSystems biologyRank 38 Perturbing ATP, lateral tension, and osmotic pressure shifts quantitative cell responsesSystems biologyRank 39 Evo genomic foundation models probed for resistance prediction and variant effectsGenomicsRank 40 Generative models shift from single structures toward sampled conformational ensemblesEpigenomics