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).

• Discovery of key regulators in classical monocyte phenotypes linked to COVID-19 severity using single-cell multi-omics sequencing.

  PMID 41732268 · PMC12925236 · iScience · 2026 · 8 claims · 8 setups

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  Two severity-associated classical monocyte (cMono) subtypes, IL7R+ and CD163+, exist with distinct transcriptional and epigenetic landscapes.

  pbmcs pbmc classical cmono single-nucleus differential multimodal

• A sequence knowledge-guided deep learning method for single-cell multi-omics translation.

  PMID 41975483 · PMC13185235 · Genome biology · 2026 · 7 claims · 7 setups

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  scProTrans, a deep learning framework combining sequence knowledge (dna2vec gene embeddings, ProtT5 protein embeddings) with a cross-omics attention mechanism, translates single-cell transcriptome data into proteome profiles

  multi-omics pbmcs datasets fully cite-seq cross-technology tri-omics

• 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

• Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C information.

  PMID 42100854 · PMC13229940 · Nucleic acids research · 2026 · 8 claims · 6 setups

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  SCEG-HiC, a weighted graphical lasso (wglasso) method, predicts enhancer-gene links from single-cell multi-omics data by integrating bulk average Hi-C as a prior penalty matrix

  specified covid-19 scatac scatac-seq bulk

• Radiogenomics predicts immune microenvironment heterogeneity and response to combination immunotherapy in hepatocellular carcinoma.

  PMID 41555384 · PMC12895822 · Journal of translational medicine · 2026 · 8 claims · 8 setups

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  A parsimonious 2-gene immune-related signature (IRS = 0.425×KPNA2 + 0.302×SMG5) is significantly associated with immune heterogeneity and response to ICI plus anti-angiogenic combination therapy in HCC

  hcc gse202642 paired hcc-derived bulk single-cell immunohistochemistry