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).

• Geometry-aware graph attention networks to explain single-cell chromatin states and gene expression with SEAGALL.

  PMID 42026624 · PMC13238118 · Genome biology · 2026 · 8 claims · 6 setups

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  SEAGALL combines a geometry-regularised autoencoder (GRAE) to embed cells and build a cell-cell graph with a graph attention network (GAT) classifier and GNNExplainer-based XAI to identify features driving cell type/phenotype.

  count same scchip-seq ten count latent classification

• Developing a comprehensive database and search tool for single-cell ATAC-seq data.

  PMID 41545440 · PMC12816011 · Scientific reports · 2026 · 5 claims · 6 setups

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  scATAC.Explorer is a curated database containing 39 publicly available scATAC-seq datasets in a consistent format

  hematopoietic drosophila cancer scatac-seq sci-atac-seq sci-car

• 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