Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Genomics
Deep learning models predict regulatory and expression effects of genomic variants
Pretrained and multi-task sequence models now resolve per-gene and per-variant effects, increasingly paired with atlases and benchmarks.
3 preprints · 6 published · ↑ 3.0× vs 4-wk avg
Rank 2 Single-cell
Explicit noise and bias models sharpen RNA-seq cell-type and isoform inference
Recent preprints and publications apply autoencoders, cross-attention and metacell aggregation to single-cell and spatial RNA-seq measurement problems.
9 preprints · 3 published · ↑ 2.1× vs 4-wk avg
Rank 3 ML / AI methods
Sequence-based deep learning predicts protein interactions and mutational binding effects
Recent sequence-based models predict interactions, binding changes and allergenicity directly from sequence, several with explicit interpretability.
5 preprints · 3 published · ↑ 2.1× vs 4-wk avg
Rank 4 Single-cell
Estimating intrinsic noise and dynamics from noisy time-series and single-cell data
Noise and interaction structure in cellular systems are increasingly inferred from sparse, noisy measurements rather than assumed a priori.
8 preprints · 2 published · ↑ 1.9× vs 4-wk avg
Rank 5 Structural bio & protein design
Generative models design binders and ligands conditioned on 3D structural states
Recent preprints couple diffusion, flow matching, and preference optimization to pretrained structure generators for flexible, physically grounded outputs.
7 preprints · ↑ 2.0× vs 4-wk avg
Rank 6 GPU and SIMD kernels accelerate alignment, read simulation and sequence search tools↑ 1.9×Tools & infrastructureRank 7 Fusing protein language model embeddings with structure, binding, and chemical data↑ 1.8×ML / AI methodsRank 8 Graph and attention deep learning models predict molecular and protein interactions↑ 1.8×ML / AI methodsRank 9 Gapless and long-read human genome references scale to population multiomic data↑ 1.7×GenomicsRank 10 Generative models for peptides and molecules now steer design with scoring feedback↑ 1.5×Structural bio & protein designRank 11 Condensate aging and maturation governed by viscoelastic and phase-separation mechanisms↑ 1.6×Structural bio & protein designRank 12 Machine learning links resistance phenotypes and genotypes in bacterial AMR↑ 1.6×ML / AI methodsRank 13 Multimodal and interpretable models predict toxicity from structure and transcriptomicsSystems biologyRank 14 Sequencing and sampling choices determine which bacterial lineages are detected↑ 1.6×GenomicsRank 15 Inference directly from raw imaging and nanopore data across biophysical assays↑ 1.6×Structural bio & protein designRank 16 Nucleosome and sequence determinants of chromatin structure, accessibility, and 3D…EpigenomicsRank 17 Pear domestication routes, Ks histogram limits and clonally inherited Vitis methylation↑ 1.5×GenomicsRank 18 Kinetic and noise-aware models infer gene expression dynamics from single-cell data↑ 1.6×Single-cellRank 19 Fusing histology, spatial omics and genomics into joint biomedical representationsML / AI methodsRank 20 Open-source tools span parameter estimation, hybrid modelling and single-cell analysisTools & infrastructure
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Rank 21 Histopathology input curation and fusion drive cancer prognosis and biomarker predictionML / AI methodsRank 22 Simulations map lipid scrambling, pore formation and lipid transfer across membranes↑ 1.6×Structural bio & protein designRank 23 Computational tools for mass spectrometry, imaging, and membrane protein pKa analysis↑ 1.6×MetabolomicsRank 24 Reduced and learned representations extract protein dynamics from simulation and imagingStructural bio & protein designRank 25 Topological and graph-based encodings of dynamic brain connectivity for learningML / AI methodsRank 26 Structure-based prediction of ligand and pocket recognition extends to RNA targetsStructural bio & protein designRank 27 Generative and transport models infer single-cell dynamics and regulatory networksSingle-cellRank 28 Learned and adaptive tokenizers for protein structure and DNA sequence modelingML / AI methodsRank 29 Alignment-free and compressed-index methods for microbial metagenomic analysisGenomicsRank 30 Benchmarking structure-based tools for protein and PROTAC complex model evaluationStructural bio & protein designRank 31 Single-cell readouts link perturbations and splicing to gene function and immunotherapySingle-cellRank 32 Genome-scale mining links plasmids, islands and effectors to bacterial host adaptationGenomicsRank 33 Mobility-integrated renewal models and open ABC tools for epidemic inferenceSystems biologyRank 34 Open LLM agents map natural-language questions onto genomic and kinetic model queriesTools & infrastructureRank 35 Computational ranking of gene modules, kinases, and metabolite pathways with validationMetabolomicsRank 36 Biophysical and cortical constraints shape learning in neural network modelsSystems biologyRank 37 Deep learning and contrastive models decode plant gene regulation across speciesGenomicsRank 38 Flux models link plasmid burden and pathway regulation to E. coli bioproductionSystems biologyRank 39 In silico mechanistic models optimize chemotherapy, ESA and cancer vaccine regimensSystems biology