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 · 71
Assessment tool based on fatty acid metabolic signatures for predicting the prognosis and treatment response in bladder cancer.
PMID 38076064 · PMC10703629 · Heliyon · 2023 · 8 claims · 8 setups
Consensus clustering of prognosis-related fatty acid metabolism genes (FAMGs) identifies three molecular subtypes of BLCA (FAMC1, FAMC2, FAMC3) with distinct prognoses and tumor microenvironments
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Full-text index only
A restricted spectrum of NRAS mutations causes Noonan syndrome.
PMID 19966803 · PMC3118669 · Nature genetics · 2010 · 8 claims · 6 setups
Germline NRAS mutations (T50I, G60E) cause a subset of Noonan syndrome cases via enhanced MAPK activation
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Full-text index only
Decision forest analysis of 61 single nucleotide polymorphisms in a case-control study of esophageal cancer; a novel method.
PMID 16026601 · PMC1637030 · BMC bioinformatics · 2005 · 8 claims · 2 setups
DF-SNPs, a novel adaptation of the Decision Forest method, can classify esophageal cancer cases vs. controls based on SNP genotype data with high concordance, sensitivity, and specificity.
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Has reproduction · 100
Transcriptomic-Based Quantification of the Epithelial-Hybrid-Mesenchymal Spectrum across Biological Contexts.
PMID 35053177 · PMC8773604 · Biomolecules · 2021 · 8 claims · 8 setups
The 76GS, KS, and MLR EMT scoring metrics show concordant trends in quantifying EMP across bulk RNA-seq datasets spanning multiple cancer types
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Full-text index only
Development of an integrated genome informatics, data management and workflow infrastructure: a toolbox for the study of complex disease genetics.
PMID 15601538 · PMC3525068 · Human genomics · 2004 · 8 claims · 8 setups
An integrated system combining Ensembl, ACeDB, Gbrowse and custom relational databases provides a scalable genome informatics and workflow infrastructure for complex disease gene discovery.