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
Detecting aberrant DNA methylation in Illumina DNA methylation arrays: a toolbox and recommendations for its use.
PMID 37218167 · PMC10208159 · Epigenetics · 2023 · 8 claims · 7 setups
Probe-specific upper and lower thresholds for flagging aberrant DNA methylation can be derived from a reference database of >2,000 normal and tumour-adjacent normal samples spanning 25 tissue types.
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Has reproduction · 79
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.
PMID 34254998 · PMC8575036 · Briefings in bioinformatics · 2021 · 6 claims · 4 setups
ParProx implements overlapping and non-overlapping (latent) group lasso regression for time-to-event (Cox) and classification (logistic) analysis with variables grouped by biological priors.
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Has reproduction · 91
A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.
PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups
DeClust is a reference profile-free deconvolution method that simultaneously deconvolves bulk tumor expression into cancer, immune, and stromal compartments and clusters samples into cancer cell-intrinsic molecular subtypes, outputting subtype-specific reference profiles for the cohort rather than for individuals.
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Has reproduction · 84
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 6 claims · 7 setups
DeepProg, an ensemble of deep-learning and machine-learning models, robustly predicts patient survival subtypes from multi-omics data and explicitly models survival as the objective while predicting new patient risks