Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
ML / AI methods
Multi-omics fusion predicts BRAF inhibitor response in cancer cell lines
Single-cell foundation models and LLMs are now benchmarked at scale across 495,000 cells for drug response prediction.
2 preprints · 4 published · ↑ 2.4× vs 4-wk avg
Rank 2 Structural bio & protein design
Simulation-derived conformational ensembles are being coupled to measured observables
Coarse-grained and enhanced-sampling simulations now yield ensembles tested against scattering, smFRET, torque, and in vivo data.
3 preprints · 2 published · ↑ 2.1× vs 4-wk avg
Rank 3 Structural bio & protein design
Residue-level energetics and side-chain flexibility resolve binding determinants
Attributing recognition energetics to individual residues and side chains now extends from docking to allosteric interfaces.
2 preprints · 1 published · ↑ 2.0× vs 4-wk avg
Rank 4 ML / AI methods
Augmentation and embedding strategies for limited-label sequence classification
Recent preprints and papers pair generative augmentation and genomic language models with limited labeled biological sequence data.
8 preprints · 2 published · ↑ 1.9× vs 4-wk avg
Rank 5 Genomics
Chromosome-scale assemblies link genome architecture to size and evolutionary history
Chromosome-level assemblies now allow direct tests of how architecture, transposons and population size shape genome evolution across lineages.
2 preprints · 3 published · ↑ 1.9× vs 4-wk avg
Rank 6 Biologically constrained embeddings for single-cell and spatial omics data↑ 1.7×Single-cellRank 7 In silico screen identifies TAD boundary regulators; ZNF654 validated as CTCF partner↑ 1.8×GenomicsRank 8 Association methods move past marginal tests toward epistasis and causal architecture↑ 1.7×GenomicsRank 9 Foundation models couple histopathology images with text, genomic and spatial readouts↑ 1.6×ML / AI methodsRank 10 Learned models cut annotation dependence across cell microscopy tasks↑ 1.7×ML / AI methodsRank 11 Single-cell transcriptomes attribute genetic and signaling effects to specific cell types↑ 1.6×Single-cellRank 12 Contrastive and optimal-transport methods for molecule-protein interaction predictionML / AI methodsRank 13 Known-truth simulators and benchmarks are tuning sequencing analysis tools↑ 1.5×Tools & infrastructureRank 14 New estimators recover spatial and single-cell structure from noisy expression data↑ 1.5×TranscriptomicsRank 15 Compact sequence indexes repurposed for pangenome, ancient DNA and long-read analysis↑ 1.5×GenomicsRank 16 Conditioning generative models on constraints to steer protein and molecule design↑ 1.5×Structural bio & protein designRank 17 Benchmarking analysis pipeline choices across omics, microbiome and single-cell dataML / AI methodsRank 18 Software tools for haplotype blocks, crossover estimation, and genotyping simulation↑ 1.6×GenomicsRank 19 Latent representations of neural activity across scales, modalities and recording types↑ 1.6×ML / AI methodsRank 20 Deep learning links sequences and spectra to modification sites and molecular identityML / AI methods
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Rank 21 Simulation and parametrization choices shape GPCR, residence-time and torsion predictionsStructural bio & protein designRank 22 Graph-based and 3D structural methods mine conserved interaction and sequence patternsStructural bio & protein designRank 23 Transcriptomic and multi-omics models stratify drug and checkpoint-blockade respondersSingle-cellRank 24 Genome-scale models link bacterial gene content and metabolism across strains and speciesSystems biologyRank 25 Cell-type and spatially conditioned correction of technical variation in omics dataSingle-cellRank 26 Computational resolution of atom provenance and stereochemical metabolite identityMetabolomicsRank 27 Assay-aware preprocessing and annotation tools for long-read and genomic interval dataTools & infrastructureRank 28 Platform-aware calibration and imputation across array and sequencing genomic dataEpigenomicsRank 29 Structure-based energy models for ligand binding, RNA folding, and protein stabilityStructural bio & protein designRank 30 Standardized feature scoring of gene sets, isoforms, and regulatory elementsSystems biologyRank 31 RNA-binding proteins couple exon inclusion to chromatin and NMD-linked decayEpigenomicsRank 32 Structure-conditioned generative design extends to nucleases and antibody repertoiresStructural bio & protein designRank 33 Post-calling evidence and upstream consensus calling refine variant interpretationGenomicsRank 34 Structure predictors lose reliability on disordered, amyloid, and designed targetsStructural bio & protein designRank 35 Neural models fit mechanistic dynamics from time-series omics and reaction networksSystems biologyRank 36 Computational protein localization and secretory pathway inference from proteomic dataProteomicsRank 37 Comparative genomics resolves microbial ecotypes, phototrophy, and taxonomic boundariesGenomicsRank 38 Quantitative genomic criteria defining bacterial taxa and horizontal gene transferGenomicsRank 39 Perturbation response models are judged by generalizability and transportabilitySystems biologyRank 40 Tools rank tumor neoantigens using sequencing, expression and HLA-linked evidenceTools & infrastructure