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Single-cell
Probabilistic and graph models infer cell identity from spatial transcriptomic data
Imaging-based spatial platforms and recent scRNA-seq statistical analyses are expanding the computational tools available for cell-level inference from tissue…
Tools & infrastructure
Open-source computational tools for omics, imaging, and epigenomic data analysis
Recent Bioinformatics tool papers target normalization, decoding, and quantification across single-cell, spatial, epigenomic, and cytometry data.
Structural bio & protein design
Generative and physics-informed models sample RNA and protein conformational ensembles
Generative models now produce all-atom ensembles faster than MD, alongside RNA dynamics benchmarks and restraint-guided structure prediction.
ML / AI methods
Longitudinal health models span aging clocks, causal inference and LLM agents
Recent preprints and publications address time-varying clinical and microbiome data with foundation models, copula resampling, and causal estimators.
Single-cell
Embedding biological structure into single-cell generative and representation models
Recent single-cell models encode biological structure in latent spaces and generative processes, enabling decomposable and interrogable predictions.