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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Interpretation of genomic data: questions and answers.
PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups
The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.
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Proteomic approaches to cancer biomarkers.
PMID 19931265 · PMC2873613 · Gastroenterology · 2010 · 8 claims · 8 setups
Combining abundant-protein depletion, offline fractionation, and subproteome (e.g., glycoproteome) enrichment with 2D LC-MS/MS increases the dynamic range and depth of blood proteome analysis for biomarker discovery.
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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.
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Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer biomarker discovery.
PMID 19936259 · PMC2775948 · PloS one · 2009 · 8 claims · 8 setups
Integrated proteomic analysis of a cancer mouse model and human cancer cell populations provides an effective approach to identify potential circulating protein biomarkers.
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Orthogonal cytokine engineering enables novel synthetic effector states escaping canonical exhaustion in tumor-rejecting CD8(+) T cells.
PMID 37081150 · PMC10154250 · Nature immunology · 2023 · 8 claims · 7 setups
Orthogonal engineering with PD1d/IL-2v/IL-33 reprograms adoptively transferred CD8+ T cells into a novel synthetic effector state (C5/TSE) that deviates from canonical TOX+ exhaustion
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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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Toxicogenomics research consortium sails into uncharted waters.
PMID 12460811 · PMC1241122 · Environmental health perspectives · 2002 · 8 claims · 8 setups
The NIEHS-funded $37 million Toxicogenomics Research Consortium (TRC) combines the NIEHS Microarray Center with five academic institutions (UNC, Duke, Fred Hutchinson/UW, MIT, OHSU) to define genetic variability, set gene expression standards, and study environmental stress responses.
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Switching base preferences of mismatch cleavage in endonuclease V: an improved method for scanning point mutations.
PMID 17130153 · PMC1702505 · Nucleic acids research · 2007 · 8 claims · 4 setups
A single Y80A alanine substitution switches Tma endo V from purine-preferring to essentially C-specific mismatch cleavage, including the previously refractory C/C mismatch.
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Two committees tackle toxicogenomics.
PMID 12501852 · PMC1241123 · Environmental health perspectives · 2002 · 8 claims · 8 setups
NIEHS funded a $37 million, five-year Toxicogenomics Research Consortium (TRC) linking the NIEHS Microarray Center with five academic institutions (UNC, Duke, Fred Hutchinson/UW, MIT, OHSU) to coordinate gene-expression research on environmental health effects.