Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• A multi-modal diffusion model with dual-cross-attention for multi-omics data generation and translation.

  PMID 41980989 · PMC13253844 · Nature communications · 2026 · 8 claims · 7 setups

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  scDiffusion-X is a multi-modal latent denoising diffusion probabilistic model for single-cell multi-omics data generation, translation, and interpretation.

  openproblem 10x babel miniatlas paired modality augmentation

• Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolution.

  PMID 41895263 · PMC13106970 · Cell reports methods · 2026 · 8 claims · 5 setups

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  scRNA-seq references yield significantly higher Pearson correlation and lower RMSE than snRNA-seq references for deconvolution across all four tissue datasets

  adipose same fat-cell real pseudobulk single-cell synthetic

• Semi-parametric empirical bayes method for multiplet detection in snATAC-seq with probabilistic multi-omic integration.

  PMID 42054434 · PMC13148828 · PLoS computational biology · 2026 · 8 claims · 5 setups

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  SEBULA models the singlet background directly from observed HCLC (high-coverage locus count) statistics using fragment-level snATAC-seq information, avoiding reliance on synthetic/artificial doublets.

  dogma-seq dogma-seq-derived seven snatac-seq q-q density