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).
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Has reproduction · 83
Functional module detection through integration of single-cell RNA sequencing data with protein-protein interaction networks.
PMID 33138772 · PMC7607865 · BMC genomics · 2020 · 8 claims · 6 setups
scPPIN integrates scRNA-seq-derived p-values with PPINs to detect maximum-weight connected subgraphs (active/functional modules) via an exact Steiner-tree approach
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Has reproduction · 100
The liver as an immunological barrier redefined by single-cell analysis.
PMID 32176810 · PMC7218664 · Immunology · 2020 · 8 claims · 8 setups
Emerging single-cell technologies have advanced or redefined understanding of the liver's immunological barrier function
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CaHoT-GRN: context-aware high-order topology learning for robust single-cell gene regulatory network inference.
PMID 42059479 · PMC13130071 · Briefings in bioinformatics · 2026 · 7 claims · 5 setups
CaHoT-GRN integrates pretrained biological language model embeddings (DNABERT for DNA, ESM for protein) with scRNA-seq expression data to improve GRN inference
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A cell atlas of multiple liver organoids and the fetal liver based on scRNA-seq.
PMID 41736863 · PMC12927097 · iScience · 2026 · 8 claims · 8 setups
A unified liver organoid cell atlas of 217,025 high-quality cells was constructed by integrating scRNA-seq data from 15 organoid samples across 9 studies with human fetal liver data (5-19 weeks gestation)
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GRNFormer: accurate gene regulatory network inference using graph transformer.
PMID 41883144 · PMC13069479 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 8 setups
GRNFormer is a generalizable graph transformer framework for GRN inference from single-cell or bulk transcriptomics data across species, cell types, and platforms without cell-type annotations or prior regulatory information
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Single-cell transcriptomics of acetaminophen-induced responses in human 2D and 3D liver microtissues.
PMID 41535591 · PMC13043593 · Archives of toxicology · 2026 · 8 claims · 7 setups
3D liver spheroids exhibit greater transcriptional diversity and elevated ribosomal gene expression compared to 2D monolayers