Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Computational models infer cell states and gene regulation from single-cell profiles
Sparse, noisy single-cell data are driving new models for cell states, gene regulatory networks, and chromatin programs.
5 preprints · 7 published · ↑ 2.1× vs 4-wk avg
Rank 2 Single-cell
Omics benchmarks test whether model internals and explanations are themselves reliable
Single-cell and omics model evaluation now extends to deconvolution, multimodal integration, and clinical cfRNA benchmarks.
8 preprints · 3 published · ↑ 2.0× vs 4-wk avg
Rank 3 ML / AI methods
Pretrained sequence language models are being adapted for protein prediction and design
Recent work refines pretrained sequence models via decomposition, controlled sampling, leakage-aware curation and tokenization choice.
4 preprints · 7 published · ↑ 2.0× vs 4-wk avg
Rank 4 Single-cell
Computational models infer 3D spatial organization from imaging and transcriptomic data
Spatially resolved imaging and transcriptomic data are now paired with pretraining, neural fields, and generative models for tissue inference.
6 preprints · 4 published · ↑ 1.9× vs 4-wk avg
Rank 5 ML / AI methods
Foundation-model embeddings fused with graph encoders for drug and RNA prediction
Pretrained representations paired with graph or Mamba encoders recur across drug, RNA and antimicrobial prediction papers from March 2026.
2 preprints · 8 published · ↑ 1.9× vs 4-wk avg
Rank 6 Workflows and artefact-aware methods for viral genomics and phylogenetic inference↑ 1.6×Tools & infrastructureRank 7 Chromosome-scale genome assemblies and annotation tools span diverse eukaryotic lineages↑ 1.6×GenomicsRank 8 Adversarial alignment and cross-species transfer when labeled data are limitedML / AI methodsRank 9 Open-source tools automate post-acquisition analysis across imaging and omics dataTools & infrastructureRank 10 LLMs turn published biomedical literature and data into verified structured recordsML / AI methodsRank 11 Vision transformers and foundation models segment biological images across scalesML / AI methodsRank 12 Benchmarked software tools for glycoproteomics, scRNA-seq, and protein structure searchProteomicsRank 13 Computational models resolve immune receptor clonality, antigen-specific T and B cellsSingle-cellRank 14 Structure-based models predict how modifications and designs reshape bindingStructural bio & protein designRank 15 Generative models design peptides, drug fragments and aptamers under constraintsStructural bio & protein designRank 16 Uncertainty and evaluation rigor for learned molecular and biological predictorsML / AI methodsRank 17 Structured models quantify pathogen persistence and intervention effects across…ML / AI methodsRank 18 Reference genomes, mapping tools, and atlases advance brain genomics and agingSingle-cellRank 19 Deep learning and pangenome graphs resolve population structural variantsGenomicsRank 20 Tools infer genomic alterations and replication timing from diverse sequencing dataTools & infrastructure
Show 19 more
Rank 21 Generative models sample biomolecular conformational ensembles and genome structuresStructural bio & protein designRank 22 Benchmarking long-read and platform workflows for single-cell and cfDNA dataGenomicsRank 23 Explicit genomic criteria refine bacterial taxonomy, plasmids, and membrane protein foldsGenomicsRank 24 Genomic statistical models tied to specific data distortions and structureML / AI methodsRank 25 Mechanistic models link tumor evolution, drug resistance, and clonal dynamicsSystems biologyRank 26 Open-source and LLM-agent frameworks orchestrate multi-step protein and ligand designStructural bio & protein designRank 27 Explicit models of measurement artifacts improve proteomics and sequencing inferenceProteomicsRank 28 Contrastive learning and classifier refinement improve genome recovery from metagenomesTools & infrastructureRank 29 Energy and free-energy dynamics tie neuronal circuit activity to specific functionSystems biologyRank 30 MD simulations resolve conformational states governing motor and kinase regulationStructural bio & protein designRank 31 Mathematical models probe epistasis, coevolution, and interaction structure in biologySystems biologyRank 32 Structure-aware learned representations predict binding sites and neurotoxicityStructural bio & protein designRank 33 Context-resolved regulatory variant mapping across tissues, quantiles, and speciesGenomicsRank 34 Quantum-referenced torsion fitting and hybrid ML/MM workflows for biomolecular simulationStructural bio & protein designRank 35 MD and AI structure models probe electrostatics, enzyme donor binding, and IDP insertionStructural bio & protein designRank 36 Inferring latent neural dynamics from RNN weights, manifolds, and large recordingsSystems biologyRank 37 Segmentation models quantify morphology in wood, phytolith and biodiversity imagesTools & infrastructureRank 38 Spiking network models link circuit dynamics to neuronal integration, plasticity, and ΦSystems biologyRank 39 Structural assumptions and conditioning limit recovery of cellular dynamical modelsSystems biology