Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Transcriptomics
Structural constraints in spatial transcriptomics annotation, alignment, and deconvolution
Constrained LLM annotation, weak supervision, and multi-slice alignment are now benchmarked against expert-labeled spatial datasets.
8 preprints · 6 published · ↑ 3.2× vs 4-wk avg
Rank 2 ML / AI methods
Tumor-naive ctDNA quantification without matched tumor sequencing
Matched tumor sequencing is often unavailable, so tumor-naive methods estimate plasma ctDNA directly, now benchmarked at scale with in silico samples.
6 preprints · 3 published · ↑ 2.1× vs 4-wk avg
Rank 3 Structural bio & protein design
Structure predictors in the loop steer de novo protein and antibody binder design
Recent preprints and two published papers pair structure prediction with sequence design for binders, antibodies and small-molecule-binding proteins.
6 preprints · 2 published · ↑ 2.0× vs 4-wk avg
Rank 4 Single-cell
Biologically structured models predict cellular responses to unseen gene perturbations
Recent perturbation models add biological structure, distributional alignment, and multimodal embeddings to prediction of responses to unseen perturbations.
7 preprints · 1 published · ↑ 1.9× vs 4-wk avg
Rank 5 ML / AI methods
Benchmarks test whether reported model performance survives realistic perturbations
Recent benchmarks across single-cell, microbiome, and protein-ligand models test whether reported performance survives realistic conditions.
5 preprints · 3 published · ↑ 1.9× vs 4-wk avg
Rank 6 Effective reduced descriptions of stochastic and heterogeneous biological systems↑ 1.9×Systems biologyRank 7 Calibrating imputation and reference bias in spatial and single-cell inference↑ 1.8×Single-cellRank 8 ML ranks peptide, antibody, epitope and glycan binding before experimental testing↑ 1.9×ML / AI methodsRank 9 Synaptic motifs, E/I balance and neuromodulation shape neural circuit model dynamics↑ 1.7×Systems biologyRank 10 Ancestry and cell-type context sharpen regulatory variant and eQTL interpretation↑ 1.6×GenomicsRank 11 LLM agents orchestrate omics and imaging analyses, evaluated on verifiable benchmarks↑ 1.7×ML / AI methodsRank 12 MD simulations expose transient Rac1 pockets and MSMP-stabilized active CCR2-G complexesStructural bio & protein designRank 13 Computational and screening methods infer functional consequences of genetic variantsGenomicsRank 14 Residue contact networks and transfer entropy map allosteric information flow in proteinsStructural bio & protein designRank 15 Automated tools for repeat-aware, reproducible DNA sequencing analysis and benchmarkingGenomicsRank 16 Structured latent encodings of imaging, omics and histology for biological predictionML / AI methodsRank 17 Biological sequence models augmented with retrieval, text, graph, and topological inputsML / AI methodsRank 18 Models increasingly treat RNA-level identity as an input for drug activity predictionStructural bio & protein designRank 19 Reduced-resolution simulation and independent benchmarking of structure predictorsStructural bio & protein designRank 20 Trait-linked gene content comparisons across bacterial and fungal genomesGenomics
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Rank 21 External evidence informs variant prioritization for rare and birth defect diagnosisGenomicsRank 22 Vertex models link cell division, adhesion, and microtubules to tissue shapeSystems biologyRank 23 Effect-size and Bayesian scoring reshape regulatory motif and co-methylation inferenceEpigenomicsRank 24 Flexibility-aware simulation and map alignment for protein-peptide structure modelingStructural bio & protein designRank 25 Prior knowledge constrains omics inference of signaling and drug effectsProteomicsRank 26 Vertebrate genomes resolve haplotypes, regulatory elements and sex-linked variationGenomicsRank 27 Models separate technical artifacts from biological variability in single-cell RNA dataSingle-cellRank 28 Computational models forecast cell fate trajectories from single-cell and imaging dataSingle-cellRank 29 Machine learning links sequence features to antigen specificity in antibodies and TCRsML / AI methodsRank 30 Alignment-free and graph-based tools reframe microbial genome and metagenome analysisTools & infrastructureRank 31 Sequence-based transformers and generative frameworks model mRNA translation and designML / AI methodsRank 32 Long-read and deep learning tools map chromatin, enhancer RNA, and G-quadruplex variationEpigenomicsRank 33 Computational inference of chromatin architecture and cis-regulatory connectivityEpigenomicsRank 34 Linker length, remodeling and phase separation shape chromatin and RNP condensate statesEpigenomicsRank 35 Computational models dissect NORSE inflammation, Abeta-Tau patterns, and aging artifactsSystems biologyRank 36 Mechanistic models couple viral replication to innate sensing and transcription controlSystems biologyRank 37 Python tools automate microscopy-based quantification of biological structure across…Tools & infrastructureRank 38 Population models quantify insect control effects on pollinators and vector-borne…Systems biologyRank 39 Cell-state atlases now link spatial, developmental and genetic architectureSingle-cellRank 40 Simulated evolutionary ground truth tests reconstruction of ancestors and intermediatesStructural bio & protein design