Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Computational fusion of histology and spatial data corrects tissue transcriptomic readouts
Early 2026 preprints and publications apply deep learning to fuse histology, spatial and single-cell transcriptomics for tissue reconstruction.
8 preprints · 4 published · ↑ 4.0× vs 4-wk avg
Rank 2 ML / AI methods
Learned models supply regulatory context absent from raw sequence inputs
Recent preprints and papers build multimodal and graph-structured inputs to address generalization limits rather than extending sequence length.
5 preprints · 2 published · ↑ 2.1× vs 4-wk avg
Rank 3 ML / AI methods
Generative models are tested on latent variability, noise and sparse biological data
Recent preprints and publications benchmark variational, foundation-model and Bayesian approaches against established methods on omics and genomic data.
6 preprints · 3 published · ↑ 1.8× vs 4-wk avg
Rank 4 Systems biology
Closed-loop and flow-inertia models link mechanism to measurable dynamics across scales
Analytical and multi-level frameworks now aim to make mechanism-dynamics coupling interpretable across biological scales, from actin to crop growth.
3 preprints · ↑ 2.0× vs 4-wk avg
Rank 5 Structural bio & protein design
Machine learning and docking predict molecular binding across GPCRs, PPIs and screening
Sequence-based affinity models, GPU virtual screening and generative design are being checked against benchmarks or experimental readouts.
3 preprints · 3 published · ↑ 1.7× vs 4-wk avg
Rank 6 Reaction networks predict gene expression in CRISPRa, riboswitches and cell-free systems↑ 1.6×Systems biologyRank 7 Generative models adapted to single-cell and spatial omics noise and multimodal fusion↑ 1.5×ML / AI methodsRank 8 Graph and deep models predict drug, microbiome, and cancer subtype outcomes↑ 1.6×ML / AI methodsRank 9 Computational models infer gene regulation and genome architecture from single-cell data↑ 1.5×Single-cellRank 10 Inferring directed and time-resolved network structure from proteomic measurements↑ 1.6×Systems biologyRank 11 Machine learning models for spectral annotation, reaction prediction, and benchmarkingML / AI methodsRank 12 Read-level taxon and locus assignment in mixed and complex sequencing samplesGenomicsRank 13 Protein language model and structure-based learning for peptide prediction and designML / AI methodsRank 14 Scored proteome-scale frameworks map organelle, complex, and secretome architectureGenomicsRank 15 Sequence-based models predict enzyme function, splice sites, and variant pathogenicityML / AI methodsRank 16 Benchmarking ensemble models of flexible proteins against experimental dataStructural bio & protein designRank 17 Phylogenetic and batch structure built directly into omics inference modelsTools & infrastructureRank 18 Pangenome graphs link structural and transposable element variants to traitsGenomicsRank 19 Synaptic tuning and energetics bound decodability and collective coding dynamicsSystems biologyRank 20 Methods for ancestry, GxE testing, and simulation extend population genomic inferenceGenomics
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Rank 21 Experimental data arbitrate accuracy of computational RNA and conformational modelsStructural bio & protein designRank 22 Learned models condition on target properties to design delivery vehiclesML / AI methodsRank 23 Reusable omics software for cross-platform conversion, meta-analysis and biomarker plotsTools & infrastructureRank 24 Co-folding models probed for allosteric binding failures and mutation invarianceStructural bio & protein designRank 25 Computational pipelines widen peptide and proteoform identification from MS dataProteomicsRank 26 Alignment-free k-mer features classify viral sequence variants and distinguish nucleic…GenomicsRank 27 Transcriptome-wide methods map RNA-protein binding and post-transcriptional regulationTranscriptomicsRank 28 Population-scale eQTL methods expose cell-type and ancestry effects on gene regulationGenomicsRank 29 Network models prioritize repurposed drugs and microbiome-modulated combination therapiesSystems biologyRank 30 Coarse-grained models map binding and folding free energies for ligands and DNAStructural bio & protein designRank 31 Deep learning predicts chromatin contacts and loops from protein binding profilesEpigenomicsRank 32 Reduced and agent-based models of multicellular fate, pattern and fixation dynamicsSystems biologyRank 33 Spatial, network and genetic structure shaping pathogen transmission inferenceSystems biologyRank 34 Computational inference turns noisy single-molecule and cryo-EM data into quantified…Structural bio & protein designRank 35 Computational models generate and score protein sequences, structures, and inhibitorsStructural bio & protein designRank 36 Single-cell identity is encoded distributively across transcriptomes and spatial fieldsSingle-cellRank 37 Long-read assemblies of kelp, microsporidian symbiont and reef coral genomesGenomicsRank 38 Targeted long-read methylation profiling and radiation-induced genomic instabilityEpigenomicsRank 39 Accelerated simulation and automated selection analysis for sequencing and genomic dataTools & infrastructure