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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Proteomic analysis identifies MMP-9, DJ-1 and A1BG as overexpressed proteins in pancreatic juice from pancreatic ductal adenocarcinoma patients.
PMID 18706098 · PMC2528014 · BMC cancer · 2008 · 7 claims · 6 setups
MMP-9, DJ-1 and A1BG are overexpressed in pancreatic juice and tissue from PDAC patients compared with cancer-free/normal controls
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Has reproduction · 42
CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.
PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 7 setups
CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy
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Loss of long-range co-expression is a common feature in cancer.
PMID 41935098 · PMC13247121 · NPJ systems biology and applications · 2026 · 8 claims · 7 setups
In cancer, the strongest co-expressed gene pairs (top MI values) are predominantly intra-chromosomal, unlike in normal tissue.
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Identification of genes associated with multiple cancers via integrative analysis.
PMID 19919702 · PMC2785840 · BMC genomics · 2009 · 8 claims · 8 setups
Mc.TGD (Multi-cancer Threshold Gradient Descent) is the first regularized approach to conduct two-dimensional selection of genes with joint effects on cancer development across multiple cancers.
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Multimodal profiling of pancreatic cancer reveals a TIMP-1-dominated secretory profile determining pro-tumor immunoinstruction in human cancers.
PMID 41564862 · PMC12866174 · Cell reports. Medicine · 2026 · 8 claims · 8 setups
A 19-factor cancer-immunoinstructive secretory signature (CISS) is present across multiple human cancers and correlates with pro-tumorigenic tumor microenvironments and poor patient survival.
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PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.
PMID 41673899 · PMC12998178 · Genome biology · 2026 · 7 claims · 8 setups
PreTSA dramatically reduces computational time and memory versus GAM (Monocle, TSCAN) and PseudotimeDE for identifying temporally variable genes (TVGs) while producing highly similar results
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Developing a comprehensive database and search tool for single-cell ATAC-seq data.
PMID 41545440 · PMC12816011 · Scientific reports · 2026 · 5 claims · 6 setups
scATAC.Explorer is a curated database containing 39 publicly available scATAC-seq datasets in a consistent format