Week 12, 2026 · Mar 16 – Mar 22

Top 40

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ML / AI methods

Transfer of learned structure across resolutions, domains, and biological priors

Proteomics

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

ML / AI methods

Locus-resolved tools scale variant interaction, colocalisation and SV detection

ML / AI methods

Reliable Biomedical Prediction Models (auto label)

ML / AI methods

Context and distribution shift govern when learned molecular predictors generalize

6 Cancer Genome Functional Landscapes (auto label)Genomics

7 Perturbation models and benchmarks reshaping therapeutic target nominationStructural bio & protein design

8 Genome-wide variation and coalescent theory jointly infer selection and demographyGenomics

9 Benchmarks and diagnostics for inferring cell-level structure from single-cell…Tools & infrastructure

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

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

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

13 Brain-model alignment is probed via gradients, training dynamics, and EEG decodingML / AI methods

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

15 Computational metrics quantify resistance, foreign-genotype cells and CpG methylationEpigenomics

17 IsomiR-resolved modeling links isomiR targeting and extracellular vesicle provenanceSystems biology

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

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

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

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

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

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

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

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

26 Computational Nucleotide Sequence Design (auto label)Tools & infrastructure

27 Joint multiomic profiling links regulatory layers to gene expression within samplesGenomics

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

29 Ensemble polymer models capture chromatin and disordered protein conformational statesEpigenomics

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

31 New computational methods for single-cell, spatial, and bulk transcriptomic analysisTools & infrastructure

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

33 In silico protein and peptide binder design with structure-based validationStructural bio & protein design

34 Personalized and reference-based models for high-dimensional biomedical dataSingle-cell

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

36 Phylogenetic inference under violated assumptions: diagnostics and correctionsSystems biology

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

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

39 Structural variants in parasite genomes shape drug response and population structureGenomics

40 Simulations couple molecular binding to emergent cell and tissue mechanicsSystems biology

Week 12, 2026 · Mar 16 – Mar 22

Top 40

Transfer of learned structure across resolutions, domains, and biological priors

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

Locus-resolved tools scale variant interaction, colocalisation and SV detection

Reliable Biomedical Prediction Models (auto label)

Context and distribution shift govern when learned molecular predictors generalize

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