Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
ML / AI methods
Single-cell model claims hinge on split design and donor-held-out generalization
Foundation models for single-cell omics now span multimodal completion, perturbation prediction, and proteomics, prompting stricter evaluation.
9 preprints · 2 published · ↑ 2.9× vs 4-wk avg
Rank 2 Single-cell
Upstream normalization, probe design and spatial testing shape single-cell readouts
Recent snRNA-seq, spatial and multiome methods are being applied to disease-linked brain cell states, making upstream analytic choices consequential.
6 preprints · 3 published · ↑ 2.7× vs 4-wk avg
Rank 3 Transcriptomics
Interpretable methods attribute gene programs to cell types and spatial niches
Single-cell and spatial transcriptomics now yield per-molecule, per-niche, and per-cell-state readouts that require interpretable inference.
12 preprints · 6 published · ↑ 2.5× vs 4-wk avg
Rank 4 Tools & infrastructure
Curated resources and workflows consolidate cross-platform spatial transcriptomics data
Spatial and single-cell datasets now span many platforms, so standardized workflows and queryable databases are needed for reuse.
4 preprints · 5 published · ↑ 2.3× vs 4-wk avg
Rank 5 Single-cell
Learned and mechanistic models infer single-cell state dynamics from lineage context
Recent preprints pair dynamical models of single-cell states with lineage tracing, gene regulatory networks, and biological constraints.
9 preprints · 1 published · ↑ 2.3× vs 4-wk avg
Rank 6 Modeling interaction-induced conformational change and weighted biomolecular ensembles↑ 2.3×Structural bio & protein designRank 7 Curated databases tie structures to binding affinities and conformational ensembles↑ 2.0×Tools & infrastructureRank 8 LLM agents grounded in source evidence for biomedical analysis and hypothesis work↑ 2.1×ML / AI methodsRank 9 Models infer glioblastoma invasion dynamics from MRI and single-cell imaging↑ 2.0×Systems biologyRank 10 Conditioned models predict peptide structure, protein function, and RNA interactions↑ 1.9×ML / AI methodsRank 11 Genetic variants and sequence shape cell-type-specific chromatin and gene expression↑ 1.8×GenomicsRank 12 Uncertainty-aware and benchmarked statistical methods reshape microbiome inference↑ 1.6×ML / AI methodsRank 13 Curated databases catalog cell markers, enhancers, tRNA modifications and lncRNAs across…↑ 1.6×Tools & infrastructureRank 14 Read-level methylation models separate tumor cfDNA from jagged-end artifacts↑ 1.6×EpigenomicsRank 15 Domain-constrained sequence tools accelerate DNA and RNA inference and designTools & infrastructureRank 16 Pretrained sequence models adapted to single-cell and individual-level genomic readouts↑ 1.5×Tools & infrastructureRank 17 Databases link non-coding variants to target genes and population allele frequencies↑ 1.5×GenomicsRank 18 Spatial transport and reaction-diffusion models across neural and glial scalesSystems biologyRank 19 Web and R tools for visualizing and integrating multilayered omics networks↑ 1.5×Tools & infrastructureRank 20 Integrated multi-omics resources link molecular features to clinical and drug outcomes↑ 1.5×Tools & infrastructure
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Rank 21 Curated knowledgebases organize bacterial, arthropod and annelid microbiome genomic dataTools & infrastructureRank 22 Computational models prioritize antibacterial targets and guide treatment decisionsGenomicsRank 23 Generative binder design pairs structure proposals with humanness and epitope evaluation↑ 1.5×Structural bio & protein designRank 24 Simulations model condensates and chromatin phases as driven, non-equilibrium systems↑ 1.5×Structural bio & protein designRank 25 ML models prioritize small molecules by activity, selectivity, and ADMET endpointsML / AI methodsRank 26 Structural variation and transposon dynamics shape genome expansion across lineagesGenomicsRank 27 Local learning and low-rank subspaces explain model-brain alignmentML / AI methodsRank 28 Packaged inference tools for RNA kinetics, regulatory networks, and protein interactionsSingle-cellRank 29 Benchmarked isoform quantification tools sharpen transcript-level RNA-seq analysisTranscriptomicsRank 30 Testing whether DNA, RNA-conditioned histology and cryo-EM models yield checkable…EpigenomicsRank 31 Histology-based models predict spatial and single-cell transcriptomes under evaluationML / AI methodsRank 32 Controlling training form and guidance locality for generative design under limited dataML / AI methodsRank 33 Learned prioritization of protein mutations, residues, and viral k-mersGenomicsRank 34 Whole-genome doubling tracked across cancers, subclones and normal tissuesGenomicsRank 35 Linking metabolic traits, genetic association and medication-adjusted GWAS phenotypesGenomicsRank 36 MD and AI modeling interpret protein structure and dynamics from HDX-MS and mutant dataStructural bio & protein designRank 37 Deep learning models embed evolutionary and chromatin structure in genome predictionEpigenomicsRank 38 Bursty gene expression shapes rhythm transmission, timing precision and information flowSystems biologyRank 39 Computational models map catalytic RNAs, protein communication and DDX3X dsRNA unwindingStructural bio & protein designRank 40 Absolute yeast proteomes link subcellular protein allocation to growth rateProteomics