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 · 100
Identification of phenotype-specific networks from paired gene expression-cell shape imaging data.
PMID 35197309 · PMC8997347 · Genome research · 2022 · 8 claims · 8 setups
WGCNA-derived gene coexpression modules from breast cancer cell line RNA-seq data correlate significantly with specific cell-shape features
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Has reproduction · 59
Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.
PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups
Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort
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Has reproduction · 55
Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.
PMID 37691920 · PMC10485775 · Frontiers in immunology · 2023 · 8 claims · 8 setups
352 DEGs (198 up-regulated, 154 down-regulated) were identified between RPL and control endometrial samples
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Has reproduction · 80
Specific signature biomarkers highlight the potential mechanisms of circulating neutrophils in aneurysmal subarachnoid hemorrhage.
PMID 36438795 · PMC9685413 · Frontiers in pharmacology · 2022 · 8 claims · 8 setups
A neutrophil-related co-expression gene module (blue module) is significantly associated with aSAH occurrence
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Has reproduction
Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.
PMID 41053409 · PMC12500777 · Cancer metastasis reviews · 2025 · 8 claims · 8 setups
A 12-step CTC-specific scRNA-seq workflow is proposed, spanning enrichment, single-cell sorting, sequencing, data pre-processing and downstream analysis, to overcome methodological inconsistencies in the field.