TrendBio

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Rank 1

ML / AI methods

Deep learning for molecular generation, property prediction and target interaction

Recent preprints and publications pair graph and transformer architectures with generative design and property prediction in drug discovery.

8 preprints · 3 published · ↑ 2.0× vs 4-wk avg
Rank 2

Genomics

Inferring regulatory activity from MPRA, knockdown and single-cell multiome readouts

Large MPRA, knockdown and multiome datasets now enable interpretable and generative models of splicing and enhancer regulation across cell types and species.

5 preprints · 5 published · ↑ 1.9× vs 4-wk avg
Rank 3

Single-cell

Generative and mechanistic models partition latent variation in single-cell omics data

Single-cell and spatial models increasingly separate biological factors such as cell cycle, perturbation, and trajectory effects.

5 preprints · 5 published · ↑ 1.9× vs 4-wk avg
Rank 4

Tools & infrastructure

Tools and curated resources sharpen microbiome taxonomic and functional profiling

Recent work pairs new pipelines, curated reference databases, and consensus statistics to reduce error in microbiome profiling.

7 preprints · 2 published · ↑ 1.7× vs 4-wk avg
Rank 5

ML / AI methods

Learned models link histology images to tissue structure and spatial gene expression

Label scarcity, batch effects and limited resolution are being addressed with weak supervision and cross-modal priors in pathology and spatial omics.

6 preprints · 2 published · ↑ 1.6× vs 4-wk avg
Rank 6 Deep learning models benchmarked and applied across nucleic acid and protein sequence…ML / AI methodsRank 7 SE(3)-equivariant diffusion models sample ligand poses and protein conformational…Structural bio & protein designRank 8 Interpretable networks dissect regulatory features in genomic sequence modelsML / AI methodsRank 9 Learned dependency models infer regulatory networks and predict molecular outcomesML / AI methodsRank 10 Epiallele-resolved methylation meets long-read and graph-based genome analysisGenomicsRank 11 Biologically structured models predict microbial resistance, interactions, and effectorsML / AI methodsRank 12 Web servers and R tools for variant, RNA structure, and microbiome analysisTools & infrastructureRank 13 Graph networks joined with sequence embeddings for protein, drug, and microbe predictionML / AI methodsRank 14 Sequence and dynamics encode allosteric control of RNA recognition and stabilityStructural bio & protein designRank 15 Inferring cell fate and microenvironment trajectories from single-cell and spatial dataML / AI methodsRank 16 Mechanisms ViralStructural bio & protein designRank 17 Complex structural variants and T2T references refine rare-disease variant detectionGenomicsRank 18 Population-scale profiling maps exchange of mobile genetic elements in bacteriaGenomicsRank 19 Benchmarking and bias detection across RNA sequencing workflowsTranscriptomicsRank 20 Regimen, resource, and vector parameters as controllable inputs in dynamics modelsSystems biology
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Rank 21 Ensemble-level validation and simulation-ready preparation of biomolecular structure…Structural bio & protein designRank 22 Computational tools for metabolic design, crystal detection and drug binding kineticsStructural bio & protein designRank 23 Multimodal atlases resolve healthy and developing tissues at single-cell resolutionSingle-cellRank 24 Statistically consistent methods and confidence measures for evolutionary tree inferenceGenomicsRank 25 Geometry, harmonization, and connectivity as constraints in brain imaging statisticsTools & infrastructureRank 26 Feedback, canalization and criticality underpin robust biological controlSystems biologyRank 27 Plant and fungal genomes reveal organizational and evolutionary constraintsGenomicsRank 28 Open reusable tools standardize genomic, proteomic, and single-cell data preprocessingTools & infrastructureRank 29 Causal, metabolic, and genetic models map brain systems organization in diseaseSystems biologyRank 30 Connectivity and cellular dynamics shape tuning heterogeneity and network burstingSystems biologyRank 31 Latent generative and transformer models for single-cell and chromatin dataSingle-cellRank 32 Chromosome-level genome assemblies for annelid, cricket and tunicate lineagesGenomicsRank 33 Simulations Resolve Conformational Switching in Ezrin, σ2R, and NLRP3Structural bio & protein designRank 34 Coupling parameter inference to specific biological model structuresSystems biologyRank 35 Network-level data prioritize repurposed drugs and therapeutic gene targetsSystems biologyRank 36 Text mining and agentic reanalysis link public biomedical data into queryable networksTools & infrastructureRank 37 Scale, batch correction and reference selection shape cross-dataset omics modelsSingle-cellRank 38 Tools target damaged ancient viral reads, probe design, and metabarcoding noiseTools & infrastructureRank 39 Open-source tools turn cytokine, lipid, and metabolite data into interpretable readoutsMetabolomicsRank 40 cfDNA fragmentation patterns infer tumor gene expression and regulatory activityEpigenomics

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