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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Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.
PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups
MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.
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Has reproduction
Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.
PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 7 claims · 8 setups
Tabular ML classifiers (TabNet, XGBoost, LightGBM) trained on tumor-only-derived features achieve state-of-the-art somatic vs germline classification, with AUC>94% on TCGA holdout and AUC>85% on metastatic melanoma.
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Full-text index only
New perspectives on an old disease: proteomics in cancer research.
PMID 17472735 · PMC1895992 · Genome biology · 2007 · 8 claims · 8 setups
The HUPO Plasma Proteome Project has catalogued over 3,020 non-redundant gene products (>7,000 proteins/isoforms) in human plasma, many originating from tissues/organs rather than being plasma-intrinsic.