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 · 63
Community assessment of methods to deconvolve cellular composition from bulk gene expression.
PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups
Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.
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Has reproduction · 85
A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells.
PMID 34316714 · PMC8271219 · NAR cancer · 2021 · 7 claims · 8 setups
EMT and tamoxifen-resistance (TamR) regulatory axes can drive one another, enabling non-genetic heterogeneity via six co-existing phenotypes (ES, ER, HS, HR, MS, MR)
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Full-text index only
Adjustment of genomic waves in signal intensities from whole-genome SNP genotyping platforms.
PMID 18784189 · PMC2577347 · Nucleic acids research · 2008 · 8 claims · 6 setups
Genomic waves are present in both Illumina and Affymetrix SNP genotyping arrays, confirming they are not platform-specific
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Has reproduction · 89
DFAST and DAGA: web-based integrated genome annotation tools and resources.
PMID 27867804 · PMC5107635 · Bioscience of microbiota, food and health · 2016 · 8 claims · 7 setups
DFAST is a web-based bacterial genome annotation and DDBJ submission pipeline with integrated CheckM quality assessment and ANI taxonomic assessment.
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Has reproduction · 71
Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.
PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups
Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.