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
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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Full-text index only
NetworKIN: a resource for exploring cellular phosphorylation networks.
PMID 17981841 · PMC2238868 · Nucleic acids research · 2008 · 8 claims · 4 setups
NetworKIN integrates consensus substrate motifs with probabilistic network context modelling to predict cellular kinase-substrate relations.
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Full-text index only
Seeded Bayesian Networks: constructing genetic networks from microarray data.
PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups
Seeding Bayesian Network analysis with prior networks derived from literature and/or PPI data improves recovery of known gene-gene interactions compared to BN analysis without a seed
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Has reproduction · 81
Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer.
PMID 33777753 · PMC7991912 · Frontiers in oncology · 2021 · 7 claims · 8 setups
Cisplatin exposure induces significant deregulation of protein expression networks in NSCLC cells
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Full-text index only
Prioritization of candidate cancer genes--an aid to oncogenomic studies.
PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups
Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes