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 · 49
Integrative transcriptomics and single-cell transcriptomics analyses reveal potential biomarkers and mechanisms of action in papillary thyroid carcinoma.
PMID 40520228 · PMC12162626 · Frontiers in genetics · 2025 · 8 claims · 8 setups
ENTPD1, SERPINA1, and TACSTD2 are potential transcriptomic biomarkers for PTC
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pmid-41707654
PMID 41707654 · PMC12923980 · 8 claims · 8 setups
DeCAF is a single-sample kTSP classifier using 9 TSP gene pairs that predicts proCAF vs restCAF subtypes from bulk expression data
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Mitochondrial DNA methylation predicts immunotherapy response and prognosis in lung adenocarcinoma: evidence from scRNA-Seq and machine learning.
PMID 41663976 · PMC12997902 · BMC cancer · 2026 · 8 claims · 8 setups
Differentially expressed MTDM-related genes (DEMTDMRGs) are significantly enriched in cell cycle regulation, ferroptosis, and ABC transporter pathways
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Has reproduction · 49
LRP1 as a potential diagnostic and immunomodulatory target in endometriosis: evidence from multi-omics and single-cell analyses.
PMID 42064072 · PMC13124487 · Frontiers in immunology · 2026 · 8 claims · 8 setups
LRP1 is a hub gene with the highest diagnostic performance among 30 candidate hub genes identified by machine learning
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Integrating single-cell and bulk transcriptomes identifies B cell features associated with neoadjuvant chemoradiotherapy sensitivity in rectal cancer.
PMID 41484196 · PMC12800305 · Scientific reports · 2026 · 8 claims · 8 setups
A B cell subpopulation co-expressing HLA-DRB5, HLA-DQA2, HLA-DQB1, CD74, and ACTG1 is significantly associated with favorable nCRT response in rectal cancer
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S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.
PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.
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Single-cell sequencing analysis and machine learning model reveal aberrant TIM-3 expression in microglia during Alzheimer's disease progression.
PMID 41580850 · PMC12911240 · Journal of translational medicine · 2026 · 7 claims · 8 setups
A TIM-3+ microglial subset drives AD pathogenesis through a dual mechanism: sustained neuroinflammation via TNF-α/NF-κB and IL-6/JAK/STAT3 signaling, and impaired amyloid-β clearance linked to PI3K-AKT and FcγR pathways