Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Model-based correction and imputation for noisy single-cell and spatial expression data
Recent preprints and publications apply explicit probabilistic models to batch, ambient RNA, missingness, and segmentation effects in expression data.
9 preprints · 3 published · ↑ 2.2× vs 4-wk avg
Rank 2 ML / AI methods
Explicit joint-structure models for multi-omics and microbiome association and prediction
Recent work formalizes joint structure across omics layers, from microbial abundance-prevalence coupling to similarity-matrix fusion for genomic prediction.
2 preprints · 3 published · ↑ 2.1× vs 4-wk avg
Rank 3 Single-cell
Deep models infer regulatory programs and RNA features from sequencing data
Large single-cell and long-read datasets now let deep models resolve regulatory, isoform, and RNA modification structure directly from expression and sequence…
4 preprints · 3 published · ↑ 2.1× vs 4-wk avg
Rank 4 ML / AI methods
LLMs grounded in curated databases and knowledge graphs for life-science queries
Life-science LLM work is shifting toward checkable external resources and benchmarks that separate reasoning from pattern matching.
1 preprint · 3 published · ↑ 1.6× vs 4-wk avg
Rank 5 Structural bio & protein design
Coarse-grained and generative models extend RNA and protein conformational sampling
Recent items pair RNA coarse-grained folding with AlphaFold-based ensemble sampling and benchmarks of monomer and dimer accuracy.
5 preprints · 3 published · ↑ 1.6× vs 4-wk avg
Rank 6 Learned encoders extend binding and bioactivity prediction to peptides and GPCRs↑ 1.6×Structural bio & protein designRank 7 Computed structures and energies drive protein-ligand and peptide binding predictions↑ 1.5×Structural bio & protein designRank 8 Topology and geometry priors guide molecular property and drug response predictionML / AI methodsRank 9 Fungal proteomes, mitogenomes and pathogen pangenomes illuminate genome evolution↑ 1.5×GenomicsRank 10 Integrative omics databases expand harmonized spatial and bulk transcriptomic accessTools & infrastructureRank 11 Computational corrections and deconvolution sharpen spatial transcriptomic inferenceTranscriptomicsRank 12 Sequence-encoded constraints shape conformational states resolved by computational modelsStructural bio & protein designRank 13 Pan-cancer databases profile mutations, nullomers, transposon transcripts and miRNA linksTools & infrastructureRank 14 Sequence and chromatin-feature models now infer 3D genome loops and architectureEpigenomicsRank 15 Standardized reference datasets and ML models for proteomic risk and biomarker analysisProteomicsRank 16 Population variant calls and ML classifiers test annotation reliabilityML / AI methodsRank 17 LLM agents grounded in curated biomedical databases and knowledge graphs for QAML / AI methodsRank 18 Single-cell drug response and interferon databases target tumour immune biologyTools & infrastructureRank 19 Deep learning models design cell-type-specific promoters and predict cell responsesEpigenomicsRank 20 Learned models map regulatory rules, microRNA strand choice and lncRNA callsEpigenomics
Show 19 more
Rank 21 AI-assisted curation is expanding drug-gene and protein-interaction knowledge resourcesTools & infrastructureRank 22 LLM agents now run autonomous multi-step omics and hypothesis workflows in biologyML / AI methodsRank 23 Polymer models link chromatin structure to epigenetic memory, Xist, and TAD searchEpigenomicsRank 24 Multi-Source Networks and Databases for Drug Repurposing and SafetyTools & infrastructureRank 25 Taxon-restricted curated genome databases pair quality control with ecological metadataTools & infrastructureRank 26 Error correction in long-read transcriptomes: fusions, UMIs, and chimeric readsTranscriptomicsRank 27 ML predicts drug ecotoxicity, ADME uncertainty, peptide bitterness and NSCLC survivalML / AI methodsRank 28 Expert curation anchors scalable annotation of biomedical literature and omics metadataTools & infrastructureRank 29 Scoring-coupled generative models drive protein and RNA sequence designStructural bio & protein designRank 30 Simulation and self-supervision drive deep learning for noisy microscopy dataML / AI methodsRank 31 FAIR-oriented harmonization of heterogeneous biological data resourcesTools & infrastructureRank 32 Simple and recurrent neural models decode vision and mimic primate decision dynamicsSystems biologyRank 33 Viral genomic variation and structural perturbation across coronaviruses and enterovirusesGenomicsRank 34 Real-haplotype simulation and reference-based estimation extend to mtDNA variationGenomicsRank 35 Tissue-resolved metabolic models, spatial lipidomics, and curated MASH transcriptomicsMetabolomicsRank 36 Ancestry and genetic regulation shape gene expression in blood and brainGenomicsRank 37 Models coupling spatial context with gene expression to decode tissue organizationTranscriptomicsRank 38 Language models and LC-MS tools expand mammalian metabolite discovery and annotationMetabolomicsRank 39 Quantifying error in simplified and data-limited inference of biological dynamicsSystems biology