Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Structured priors and alignment models sharpen single-cell and spatial omics inference
Unpaired, weakly paired, and spatially resolved omics data now demand explicit structural priors to link modalities and recover biology.
8 preprints · 8 published · ↑ 3.0× vs 4-wk avg
Rank 2 Epigenomics
Computational tools infer regulatory activity and chromatin contacts from sequencing data
Recent preprints and publications couple chromatin accessibility, expression, and contact data with new statistical and machine learning models for regulatory…
5 preprints · 5 published · ↑ 2.2× vs 4-wk avg
Rank 3 Tools & infrastructure
Reproducible tools for cell annotation, variant classification, and drug repurposing
Recent preprints and publications pair executable pipelines with harmonized data and benchmarking of annotation, variant, splicing, and repurposing tools.
3 preprints · 3 published · ↑ 2.1× vs 4-wk avg
Rank 4 Single-cell
Graph and generative models encode spatial, regulatory, and morphological structure in…
Omics methods increasingly build niche, regulatory, and morphological structure into model representations rather than applying it only as downstream analysis.
9 preprints · 4 published · ↑ 1.9× vs 4-wk avg
Rank 5 ML / AI methods
Deep models predict regulatory activity and single-cell perturbation responses
Foundation-scale and generative architectures are now applied to regulatory DNA, promoter activity, and single-cell perturbation outcomes.
7 preprints · 3 published · ↑ 1.9× vs 4-wk avg
Rank 6 Regularized and graph models target correlation, missingness, and network priors in omics↑ 1.9×Systems biologyRank 7 Moran birth-death models infer mtDNA deletion timing from single-cell snapshots↑ 1.6×Single-cellRank 8 Comparative genomics links sequence variation and structure to ecology across taxa↑ 1.6×GenomicsRank 9 Single-cell atlases map cell-type regulatory programs across human and mouse brain↑ 1.6×Single-cellRank 10 Deep learning over molecular graphs and networks predicts drug activity and targetsML / AI methodsRank 11 Probabilistic models of sequence change sharpen time-dependent evolutionary inference↑ 1.6×Systems biologyRank 12 Biophysical models predict cell steering by electric fields, stiffness, and geometry↑ 1.6×Systems biologyRank 13 Single-cell and spatial profiling resolve tumor subclones, lineage and mutation signatures↑ 1.5×EpigenomicsRank 14 Assessing quantification scope and workflows for LC-MS proteomics data↑ 1.6×ProteomicsRank 15 ML and algorithmic models now guide RNA sensor, primer, and editability design↑ 1.5×ML / AI methodsRank 16 Augmenting learned embeddings with graph, homology, and knowledge priors for predictionML / AI methodsRank 17 Library chemistry and ligation bias now determine what RNA-seq quantification reportsSingle-cellRank 18 Computational tools for genome comparison, coevolution, viral RdRp and genotype mapsTools & infrastructureRank 19 Generative molecular design conditioned on learned, non-structural representationsML / AI methodsRank 20 Haplotype-resolved assemblies extend to autopolyploid and phased cultivar genomesGenomics
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Rank 21 Genome language models increasingly encode evolutionary and biochemical constraintsML / AI methodsRank 22 Learned and multitrait models with explicit uncertainty recover discrete variant statesGenomicsRank 23 Automated long-read workflows and benchmarks advance microbial genome and strain…Tools & infrastructureRank 24 Deep learning models analyze gigapixel tissue images for segmentation and QCML / AI methodsRank 25 Simulations probe contacts and directed flux in biomolecular condensatesStructural bio & protein designRank 26 Computational cost cuts enable long-read and population-scale genome assembly workflowsGenomicsRank 27 Language models and alignment methods map how single amino acid substitutions alter…ML / AI methodsRank 28 Technical checks on scRNA-seq coverage bias and integration parameter sensitivitySingle-cellRank 29 In silico variant pathogenicity prediction now spans synonymous and missense variationTools & infrastructureRank 30 Generative models now sample protein dynamics, antibody structures, and cryo-EM mapsStructural bio & protein designRank 31 Network and polymer geometry quantify contacts and domains in genome organizationEpigenomicsRank 32 Heterogeneity in networks, hosts and stress reshapes epidemic and cooperative outcomesSystems biologyRank 33 Physical models link RecA filament mechanics to supercoiling-controlled gene expressionEpigenomicsRank 34 Residual recombination and breakpoints reshape clonal and heterozygous genomesGenomicsRank 35 Mechanistic dynamical models link molecular kinetics to system-level behaviour across…Systems biologyRank 36 Learned models predict membrane binding and contact, anchored in molecular dynamicsStructural bio & protein designRank 37 Ancient DNA kinship, dating, and epigenetic age methods face sample-level limitsGenomicsRank 38 Simulation and machine learning models of tumor and colitis immune regulationSingle-cellRank 39 Learned models advance MS/MS-based metabolite structure and similarity inferenceMetabolomicsRank 40 New statistics detect spatial patterns in transcriptomic and single-molecule omics dataTranscriptomics