TrendBio

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Rank 1

ML / AI methods

LLM systems grounded in curated biomedical resources for QA, annotation and knowledge…

Recent items pair LLMs with curated IEDB, GEO, RDF and multi-hop QA benchmarks, testing retrieval and agentic reasoning against established resources.

2 preprints · 4 published · ↑ 1.9× vs 4-wk avg
Rank 2

ML / AI methods

Transport-based generative models for molecules, antibodies, and single-cell dynamics

Diffusion, flow-matching, and Bayesian flow models now target 3D molecules, antibody sequences, and unbalanced single-cell trajectories.

4 preprints · 1 published · ↑ 2.0× vs 4-wk avg
Rank 3

Transcriptomics

Spatial transcriptomics models couple expression with histology and spatial graph priors

Preprints and papers in January 2026 extend spatial transcriptomics to 3D reconstruction, histology-based expression prediction, and platform and deconvolution…

7 preprints · 9 published · ↑ 1.9× vs 4-wk avg
Rank 4

Epigenomics

Sequence-to-function models decode regulatory rules and 3D chromatin structure

Sequence-to-function models now decompose regulatory logic into interpretable rules, extending to 3D genome architecture and single-locus imaging.

3 preprints · 4 published · ↑ 1.8× vs 4-wk avg
Rank 5

Single-cell

Benchmarks and harmonized atlases standardize single-cell transcriptomic analysis

Recent benchmarks and harmonized BAL atlases provide cross-study reference points for evaluating single-cell tools and annotations.

9 preprints · 3 published · ↑ 1.5× vs 4-wk avg
Rank 6 Learned models refine peptide identification from tandem mass spectra in proteomics↑ 1.6×ProteomicsRank 7 Curated resources map microbial metabolic functions for computational analysisTools & infrastructureRank 8 Silencer activity atlas links leukemia silencer hijacking of FOXP1 to MYC activation↑ 1.5×ML / AI methodsRank 9 Pangenome networks and population-scale structural variant genotyping across read types↑ 1.5×GenomicsRank 10 Monoculture metabolism and interaction models predict microbial community behavior↑ 1.5×Systems biologyRank 11 R tools and databases for multiomics integration and spatial transcriptomics explorationTools & infrastructureRank 12 Mechanistic models tie exosome cargo, viscosity and ion pumping to cell-scale behaviourSystems biologyRank 13 Histone marks and chromatin proteins shape computational models of genome structureGenomicsRank 14 Standardized capability models and FAIR frameworks for biological databasesTools & infrastructureRank 15 Deep learning predicts biomolecular interactions from sequence, structure and chemistryStructural bio & protein designRank 16 Coarse-grained and deep learning models resolve RNA and protein interface structureStructural bio & protein designRank 17 Databases and ML models organize proteoform, glycosylation, and plasma proteomic dataProteomicsRank 18 Predicted and docked protein-ligand complexes underpin affinity and pose estimationStructural bio & protein designRank 19 Environmental and intrinsic constraints shape protein folding and conformational ensemblesStructural bio & protein designRank 20 Network-based models link drug-target knowledge to repurposing and side-effect predictionSystems biology
Show 19 more
Rank 21 Individual-level brain and methylation trajectories as computational biomarkersML / AI methodsRank 22 Ionizable residue charge states gate conformational transitions in channels and complex IStructural bio & protein designRank 23 Sequence models coupled to functional objectives for enzyme and protein designML / AI methodsRank 24 Curated genome databases span magnetotactic, endophytic and methanogenic prokaryotesTools & infrastructureRank 25 Computational detection and classification of genomic variants in difficult regionsGenomicsRank 26 Ground-truth benchmarks and classifier comparisons test microbiome tool reliabilityTools & infrastructureRank 27 Single-cell and multi-omics atlases map immune states across disease and exerciseTools & infrastructureRank 28 Modular pipelines standardise 3D and spatial transcriptomics analysis and visualisationML / AI methodsRank 29 Curated databases structure microbial habitat, antigen, lysin and biosynthetic gene dataTools & infrastructureRank 30 Deep learning models predict RNA, chromatin and histone features from sequence dataML / AI methodsRank 31 Learned representations and cross-cohort validation for MRI-based brain analysisML / AI methodsRank 32 Language and ontology priors are being built into single-cell foundation model trainingSingle-cellRank 33 Fine-mapping and functional annotation narrow GWAS loci to candidate causal variantsGenomicsRank 34 Inferring latent cell dynamics and regulatory structure from noisy single-cell dataSingle-cellRank 35 Viral genome resources integrate variation, structure, and environmental sequence dataTools & infrastructureRank 36 Deep learning guides de novo AAV capsid and promoter design and infected-cell detectionEpigenomicsRank 37 Distributional, mean-field, and plasticity frameworks for neural representationSystems biologyRank 38 Asgard archaea dominate LECA gene origins; Korarchaeota habitat transitions are datedGenomicsRank 39 Corrected inference for missingness and batch structure in proteomics and CNV dataProteomics

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