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 · 77
SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.
PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 6 claims · 5 setups
SurvConvMixer, using pathway-level gene expression images and ConvMixer, achieves strong internal validation AUC for overall survival prediction, especially on larger datasets like LUAD
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Has reproduction · 80
Comprehensive analysis of transcriptomics and radiomics revealed the potential of TEDC2 as a diagnostic marker for lung adenocarcinoma.
PMID 39553728 · PMC11569783 · PeerJ · 2024 · 8 claims · 8 setups
WGCNA identified 214 key genes in the blue module most correlated with LUAD
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Has reproduction · 73
Detecting aberrant DNA methylation in Illumina DNA methylation arrays: a toolbox and recommendations for its use.
PMID 37218167 · PMC10208159 · Epigenetics · 2023 · 8 claims · 8 setups
Developed OutlierMeth, an R package that computes probe-specific thresholds and flags DNA methylation outliers from array data
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Has reproduction · 32
Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.
PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 8 claims · 5 setups
Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)
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Has reproduction · 89
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.
PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 6 setups
GRF identifies effective features that form highly connected sub-graphs on the underlying biological network