Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Learned models and benchmarks infer cell-type and state information from omics data
Foundation-model embeddings, standardized evaluation frameworks, and cfRNA deconvolution benchmarks now allow systematic comparison of inference methods across…
11 preprints · 2 published · ↑ 2.3× vs 4-wk avg
Rank 2 Single-cell
New computational tools correct, impute, and model single-cell transcriptomic data
Recent preprints report explicit comparisons against existing methods for imputation, decontamination, and spatial analysis of transcriptomic data.
7 preprints · 3 published · ↑ 1.9× vs 4-wk avg
Rank 3 Genomics
Sequencing workflows advance long-read metagenome assembly and pangenome analysis
Recent preprints and publications introduce scalable, reproducible pipelines for long-read and large-cohort sequencing data.
5 preprints · 4 published · ↑ 1.7× vs 4-wk avg
Rank 4 ML / AI methods
Fused graph and sequence representations for drug-target and bioactivity prediction
Recent 2026 reports fuse graph, sequence and text views for interpretable, uncertainty-aware prediction of binding and bioactivity.
1 preprint · 8 published · ↑ 1.7× vs 4-wk avg
Rank 5 ML / AI methods
Transfer and self-supervision for biomedical deep models with limited labels
Biomedical datasets are often heterogeneous, small or unlabeled, so methods for cross-dataset transfer and explanation fidelity now need direct evaluation.
7 preprints · 1 published · ↑ 1.6× vs 4-wk avg
Rank 6 Protein language models tackle variant effects, binding and design under scarce labels↑ 1.6×ML / AI methodsRank 7 Computational models link microscopy, spatial omics and chromosome 3D structureSingle-cellRank 8 Pretrained protein and nucleotide language models repurposed as task-specific predictorsML / AI methodsRank 9 Validated software converts indirect biological data into resolved quantitative outputsProteomicsRank 10 Latent dynamical models infer single-cell trajectories and perturbation responsesSingle-cellRank 11 Dynamical models link neural activity to behavior, learning rules, and controlSystems biologyRank 12 Formal models link network topology and dynamics to constraints on biological functionSystems biologyRank 13 Structure-based computation predicts molecular interactions in viral and toxin targetsStructural bio & protein designRank 14 Confidence-aware tools refine taxonomic and genome assignment from long-read metagenomesTools & infrastructureRank 15 Recovering tumor-derived features from long reads, cfDNA fragmentomics and base qualityGenomicsRank 16 Machine learning and repertoire profiling dissect immune signatures in MS and AMLML / AI methodsRank 17 Mechanism-isolating models of molecular, population, and infection dynamicsSystems biologyRank 18 Learned genomic representations predict bacterial resistance and functional traitsGenomicsRank 19 Quantum-accurate targets now feed scalable, GPU-based molecular force field workflowsStructural bio & protein designRank 20 Learned protein embeddings predict motifs, palmitoylation, function and binding sitesML / AI methods
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Rank 21 Sequence rules govern condensate architecture and interfacial β-sheet nucleationStructural bio & protein designRank 22 Noncoding variants and chromatin architecture mapped to regulatory network rewiringEpigenomicsRank 23 Scalable, shareable software for quantitative fluorescence bioimage analysisTools & infrastructureRank 24 Learned filters join receptor-aware screening and synthesis-aware compound generationStructural bio & protein designRank 25 Corrected estimators sharpen omics inference under sample and outlier distortionGenomicsRank 26 LLM agents and retrieval pipelines extract and curate published biomedical dataML / AI methodsRank 27 MD simulations resolve conformational ensembles of disordered and phosphorylated peptidesStructural bio & protein designRank 28 Assumption-light estimators tackle noise structure in biological measurementsSystems biologyRank 29 Software for genotype-based prediction and variant prioritisation in human geneticsGenomicsRank 30 Predicted and curated atlases map protein and gene interaction networksStructural bio & protein designRank 31 Generative models sample structural ensembles and trajectories under physical conditioningStructural bio & protein designRank 32 Population-scale mapping of structural variation and inter-chromosomal linkage in humansGenomicsRank 33 Network models tie E-I balance, bursting, and integration to neural computationSystems biologyRank 34 Local generative AI and decontamination tools for scRNA-seq preprocessing and annotationSingle-cellRank 35 Mechanistic models quantify tumor treatment response and resistance across scalesSystems biologyRank 36 Diffusion models for molecular conformers and functional peptide designML / AI methodsRank 37 ATP level and membrane tension shape cellular wave, deformation, and volume dynamicsSystems biologyRank 38 Reference genomes, annotations and taxonomies underpin brain and epigenomic analysesGenomicsRank 39 Sampling-based biomolecule design checked by structure prediction and energy modelsStructural bio & protein designRank 40 Chromosome-level genomes for a colonial hydrozoan and a parthenogenetic nematodeGenomics