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).

• GREIN: An Interactive Web Platform for Re-analyzing GEO RNA-seq Data.

  PMID 31110304 · PMC6527554 · Scientific reports · 2019 · 8 claims · 7 setups

  Has reproduction · 73

  GREIN is a web application providing user-friendly interfaces to manipulate, visualize, and analyze GEO RNA-seq data.

  mcf10a nde&dt hypoxia bulk correlation pca

• CanSig Benchmarks Methods for Reproducible Cancer Cell State Discovery from Single-Cell Transcriptomic Data.

  PMID 41231245 · PMC13053056 · Cancer research · 2026 · 7 claims · 7 setups

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  CanSig is a comprehensive benchmarking tool for evaluating computational methods that identify shared transcriptional signatures in cancer from scRNA-seq data

  neftel kim scrna-seq same scrna-seq ground-truth robustness

• Dissecting tumor heterogeneity in colorectal cancer: uncovering the role of BCL2L1(+) cells through single-cell analysis.

  PMID 41958675 · PMC13056825 · Frontiers in immunology · 2026 · 8 claims · 8 setups

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  scRNA-seq identifies five CRC tumor cell subtypes, with the C4 BCL2L1+ subtype predominantly enriched in liver metastases and showing enhanced proliferation, metabolic reprogramming, and anti-apoptotic activity

  crc epcs malignant tcga scrna-seq infercnv cytotrace

• Robust and efficient annotation of cell states through gene signature scoring.

  PMID 41708334 · PMC12951948 · Genome research · 2026 · 8 claims · 8 setups

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  Established scoring methods (Seurat, SCANPY, UCell, JASMINE) fail to provide robust and comparable score distributions across diverse signatures and experimental conditions, precluding accurate unsupervised cell-state annotation.

  pbmc colorectal esophageal crc scrna-seq cross-implementation signature

• TE-SCALE: a comprehensive database for exploring transposable element expression across human cancers at single-cell resolution.

  PMID 41296555 · PMC12807651 · Nucleic acids research · 2026 · 8 claims · 8 setups

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  TE-SCALE is a comprehensive single-cell database integrating TE expression across 20 human cancer types and 12 tissue origins

  tumor quality-controlled scrna-seq metacells scrna-seq subfamily automated