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 · 83
Gene Expression Analysis Platform (GEAP): A highly customizable, fast, versatile and ready-to-use microarray analysis platform.
PMID 34927664 · PMC8754388 · Genetics and molecular biology · 2021 · 8 claims · 2 setups
GEAP is a GUI-based microarray analysis platform combining a C# front-end with an R (RTerm) back-end via the rgeap package, enabling analysis independent of manufacturer/platform.
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Has reproduction · 87
A robust data scaling algorithm to improve classification accuracies in biomedical data.
PMID 27612635 · PMC5016890 · BMC bioinformatics · 2016 · 8 claims · 2 setups
Models trained on data scaled by the GL algorithm outperform models trained on data scaled by the Min-max or Z-score algorithms across 16 binary classification tasks, measured by AUROC and percentage of correct classification
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The European Bioinformatics Institute's data resources: towards systems biology.
PMID 15608238 · PMC539980 · Nucleic acids research · 2005 · 8 claims · 5 setups
Since 2003 the EBI has launched new databases covering protein-protein interactions (IntAct), pathways (Reactome) and small molecules (ChEBI)
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The genomic analysis of lactic acidosis and acidosis response in human cancers.
PMID 19057672 · PMC2585811 · PLoS genetics · 2008 · 8 claims · 8 setups
Lactic acidosis and hypoxia induce largely distinct gene expression programs in HMECs, with lactic acidosis producing a much larger and more dramatic response
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Comparison of prognostic gene expression signatures for breast cancer.
PMID 18717985 · PMC2533026 · BMC genomics · 2008 · 8 claims · 5 setups
The three prognostic signatures (70-gene, 76-gene, GGI) show similar prognostic performance for predicting DMFS despite differing gene identity and development approach
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Calibrating the performance of SNP arrays for whole-genome association studies.
PMID 18584036 · PMC2432039 · PLoS genetics · 2008 · 8 claims · 7 setups
Previous SNP array genetic coverage estimates are inflated due to SNP overfitting and sample overfitting, since they were evaluated on the same HapMap SNPs/individuals used to design the arrays.