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 · 73
GREIN: An Interactive Web Platform for Re-analyzing GEO RNA-seq Data.
PMID 31110304 · PMC6527554 · Scientific reports · 2019 · 8 claims · 7 setups
GREIN is a web application providing user-friendly interfaces to manipulate, visualize, and analyze GEO RNA-seq data.
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Full-text index only
Expoldb: expression linked polymorphism database with inbuilt tools for analysis of expression and simple repeats.
PMID 17038195 · PMC1618849 · BMC genomics · 2006 · 8 claims · 6 setups
EXPOLDB is a novel database integrating human gene expression variability data (including monozygotic twin comparisons) with (TG/CA)n repeat polymorphism information
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Full-text index only
A taxonomy of epithelial human cancer and their metastases.
PMID 20017941 · PMC2806369 · BMC medical genomics · 2009 · 8 claims · 6 setups
Unsupervised hierarchical clustering of 1566 primary epithelial tumors yields large tissue-enriched clusters (breast, colon/GI, lung, ovary, kidney) plus smaller prostate, thyroid-kidney, and mixed clusters
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Has reproduction · 62
Gbdmr: identifying differentially methylated CpG regions in the human genome via generalized beta regressions.
PMID 38443825 · PMC10916021 · BMC bioinformatics · 2024 · 8 claims · 4 setups
gbdmr models DNA methylation levels of CpG sites using a generalized beta distribution instead of assuming normality as in linear-regression-based methods
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.