Week 8, 2026 · Feb 16 – Feb 22

Top 40

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Single-cell

Inferring temporal cell-state dynamics from snapshot single-cell and spatial data

ML / AI methods

Sparse autoencoders steer pretrained protein and genomic language model representations

ML / AI methods

Neural Representation Decoding Models (auto label)

Transcriptomics

Constraint And Splicing Prioritization (auto label)

Structural bio & protein design

Predicted structures and ensembles used as optimization criteria in biomolecular design

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

7 New callers resolve CNVs, structural variants, uniparental disomy and aneuploidy from NGSGenomics

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

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

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

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

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

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

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

15 Fusing sequence, structure and graph features for multimodal interaction predictionML / AI methods

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

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

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

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

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

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21 Graph neural networks fuse multimodal omics and network data for biological predictionML / AI methods

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

23 Deep learning automates particle picking, fusion, and event detection in microscopyStructural bio & protein design

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

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

26 Criticality, attractor dynamics and decoding probe large-scale brain dynamicsSystems biology

27 Reduced and agent-based models of tumor, granuloma, and bacterial population dynamicsSystems biology

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

29 Network Structured Transmission Modeling (auto label)Systems biology

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

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

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

33 DFT reference data refines torsion parameters and hybrid ML/MM simulation setupStructural bio & protein design

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

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

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

37 Circadian-gated slow-fast models infer time-dependent transitions in biological statesSystems biology

39 Rna Regulation Mapping Methods (auto label)Transcriptomics

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

Week 8, 2026 · Feb 16 – Feb 22

Top 40

Inferring temporal cell-state dynamics from snapshot single-cell and spatial data

Sparse autoencoders steer pretrained protein and genomic language model representations

Neural Representation Decoding Models (auto label)

Constraint And Splicing Prioritization (auto label)

Predicted structures and ensembles used as optimization criteria in biomolecular design

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