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 · 68
Cell-type annotation with accurate unseen cell-type identification using multiple references.
PMID 37379341 · PMC10335708 · PLoS computational biology · 2023 · 8 claims · 4 setups
mtANN integrates multiple reference datasets and eight gene selection methods via ensemble learning (multiple deep classification models + majority voting) to improve cell-type annotation accuracy
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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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Has reproduction · 53
spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.
PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 8 setups
spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from scRNA-seq data
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Has reproduction · 75
FEM: mining biological meaning from cell level in single-cell RNA sequencing data.
PMID 34909283 · PMC8641482 · PeerJ · 2021 · 8 claims · 5 setups
The FEM algorithm converts a single-cell gene expression matrix into a functional expression matrix using multi-module gene set enrichment analysis, utilizing information from all expressed genes rather than discarding filtered genes.
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Has reproduction · 88
Enteroendocrine cell lineages that differentially control feeding and gut motility.
PMID 36810133 · PMC10032656 · eLife · 2023 · 6 claims · 8 setups
Vil1-p2a-FlpO knock-in mice combined with lineage-specific Cre lines enable highly selective intersectional genetic access to major enteroendocrine cell lineages (serotonin/enterochromaffin, GLP1, CCK, somatostatin, GIP) in vivo