Week 5, 2026 · Jan 26 – Feb 1

Top 40

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Genomics

Transfer, kernel and penalized methods raise power in genetic association studies

ML / AI methods

Latent diffusion models extend to histology staining and drug-response prediction

ML / AI methods

LLMs as reasoning and agentic components in drug discovery workflows

ML / AI methods

Protein Language Model Embeddings (auto label)

ML / AI methods

Statistical and neural methods for grouped microbiome data analysis

6 Deep models for single-cell perturbation, annotation, and foundation-model interpretationML / AI methods

7 Inferring temporal cell-state dynamics from snapshot single-cell and spatial dataSingle-cell

8 Omics Deep Learning Benchmarks (auto label)ML / AI methods

9 Neural and hybrid models infer population history from LD, ARGs, and mtDNA distancesGenomics

10 Genomic language models are being interrogated for regulatory and biological structureGenomics

11 Scalable tools refine orthology and gene histories across diverse genome collectionsGenomics

12 Protein language models and LLMs predict mutation, editability and PAM specificityML / AI methods

13 Cryo-EM and cryo-ET density guides generative and regression models of atomic structureStructural bio & protein design

14 Automated curation converts public omics and literature records into linkable resourcesTools & infrastructure

15 Reliable Biomedical Prediction Models (auto label)ML / AI methods

16 Reference benchmarks and Bayesian models quantify variant call and effect reliabilityGenomics

17 Protonation and ion handling shape membrane transport and penetration in MD simulationsStructural bio & protein design

18 Biological Dynamics Modeling Frameworks (auto label)Structural bio & protein design

19 Local LLMs and modular frameworks standardize single-cell metadata, model use and…Single-cell

20 Learned models encode fragment topology and bond-edit search for molecular structureMetabolomics

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21 Alignment-free k-mer features resolve variant and class differences in genomic sequencesGenomics

22 AI structure models extended to protein conformational dynamics and ensemble samplingStructural bio & protein design

23 Sequence patterning governs peptide condensation and membrane translocationStructural bio & protein design

24 Rna Regulation Mapping Methods (auto label)Transcriptomics

25 Heterogeneity In Epidemic Population Dynamics (auto label)Systems biology

26 Network Structured Transmission Modeling (auto label)Systems biology

27 LLM agents grounded in raw single-cell data for annotation and perturbation predictionSingle-cell

28 Automated curation and standardization of small-molecule data for predictive modelingTools & infrastructure

29 Chromosome-scale and pangenome assemblies advance fungal and polyploid crop genomicsGenomics

30 Curated knowledge bases convert literature into queryable biomedical evidenceTools & infrastructure

31 ODE and power-law models dissect glycolytic oscillations and plant circadian networksSystems biology

32 Chromosome Scale Genome Assemblies (auto label)Genomics

33 Reference-free transcriptome QC and indexed pangenome graph formats for sequence analysisTools & infrastructure

34 Modeling choices alter conclusions drawn from gene regulatory network analysesSystems biology

35 Tissue-wide planar cell polarity emerges from local signals in cellular Potts modelsSystems biology

36 Interfaced workflow platforms make sequencing and spatial omics analyses reproducibleTools & infrastructure

37 Evolutionary Analysis Software Tools (auto label)Tools & infrastructure

38 Functional Omics Analysis Tools (auto label)Systems biology

39 Spatial statistics and dimension reduction resolve molecular patterns in omics dataProteomics

40 Physical polymer models connect 3D genome organization to regulatory outputEpigenomics

Week 5, 2026 · Jan 26 – Feb 1

Top 40

Transfer, kernel and penalized methods raise power in genetic association studies

Latent diffusion models extend to histology staining and drug-response prediction

LLMs as reasoning and agentic components in drug discovery workflows

Protein Language Model Embeddings (auto label)

Statistical and neural methods for grouped microbiome data analysis

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