Week 10, 2026 · Mar 2 – Mar 8

Top 40

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ML / AI methods

Noncoding RNAs in human cells and tissues: annotation and regulatory profiling

Epigenomics

Computational metrics quantify resistance, foreign-genotype cells and CpG methylation

Genomics

ML models infer tumor features from cfDNA fragmentomics and single-cell data

Tools & infrastructure

New computational methods for single-cell, spatial, and bulk transcriptomic analysis

ML / AI methods

Pretrained sequence models are probed against DMS, structure and splicing tasks,…

6 Computational readouts of calcium transients and FLIM lifetime artifacts in microscopySingle-cell

7 Conformational Ensemble Modeling (auto label)Structural bio & protein design

8 Sequence Analysis Software Pipelines (auto label)Tools & infrastructure

9 Transfer, kernel and penalized methods raise power in genetic association studiesGenomics

10 Probabilistic tools for phylogenetic ESS, species trees, alignment windows, and datingGenomics

11 Recovering cell-type expression from sparse, mixed, and noisy transcriptomic measurementsML / AI methods

12 Open software tools are packaging spatial and whole-slide image analysis steps for reuseML / AI methods

13 Mechanistic and autoencoder models decode single-cell transcriptional dynamicsSingle-cell

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

15 Computational Genome Annotation Tools (auto label)Tools & infrastructure

16 MD-informed models map allosteric couplings in receptors and AAA+ ATPasesStructural bio & protein design

17 Latent diffusion models extend to histology staining and drug-response predictionML / AI methods

18 Cancer Genome Functional Landscapes (auto label)Genomics

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

20 Inferring tissue and tumor states from spatial, single-cell, and metabolic dataMetabolomics

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21 Genome-scale constraint maps proto-gene precursors and duplicate-gene divergenceGenomics

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

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

24 Protein language models encode nativeness, taxonomy, and memorization beyond trainingML / AI methods

25 Structure-aware statistical methods for single-cell and spatial transcriptomics inferenceML / AI methods

26 Predicted structures and ensembles used as optimization criteria in biomolecular designStructural bio & protein design

27 Multi-agent LLM systems grounding biological queries in knowledge graphs and retrievalTools & infrastructure

28 Sequence models extend regulatory and splicing prediction to personal genomesML / AI methods

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

30 Metapopulation models link mobility and surveillance sensitivity to infection dynamicsSystems biology

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

32 ML-Guided Proteomics Methods Resolve Site-Level Structural and PTM ChangesMetabolomics

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

34 Electrostatic And Energetic Model Assessment (auto label)Structural bio & protein design

35 Faster tools for protein dynamics: CEST fitting, flexibility, trajectory compressionTools & infrastructure

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

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

38 ATP level and phosphorylation free energy set trigger-wave speed and nucleus sizeSystems biology

39 Analytical choices shape accuracy in MS-based strain, variant and quantity inferenceProteomics

40 Transcriptome-wide resources and pipelines refine human RNA annotation and regulationTranscriptomics

Week 10, 2026 · Mar 2 – Mar 8

Top 40

Noncoding RNAs in human cells and tissues: annotation and regulatory profiling

Computational metrics quantify resistance, foreign-genotype cells and CpG methylation

ML models infer tumor features from cfDNA fragmentomics and single-cell data

New computational methods for single-cell, spatial, and bulk transcriptomic analysis

Pretrained sequence models are probed against DMS, structure and splicing tasks,…

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