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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CanPredict: a computational tool for predicting cancer-associated missense mutations.
PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups
CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated
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Constructing support vector machine ensembles for cancer classification based on proteomic profiling.
PMID 16689692 · PMC5173238 · Genomics, proteomics & bioinformatics · 2005 · 7 claims · 4 setups
CSVME, built by selecting a subset of base SVMs via SVM-RFE ranking and fusing them with a trained upper-layer SVM, achieves better classification performance than an ensemble of all base SVMs.
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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
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Discovering cancer genes by integrating network and functional properties.
PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups
Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes
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Has reproduction · 83
Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.
PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 5 setups
CHCT, a hierarchical classification tool, splits classification of 30 cancer types into ten smaller subproblems using a two-tier architecture to classify primary cancer by methylation profile
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HapMap-based study of the 17q21 ERBB2 amplicon in susceptibility to breast cancer.
PMID 17117180 · PMC2360759 · British journal of cancer · 2006 · 6 claims · 5 setups
Common genetic variation (tSNPs and haplotypes) across the 400-kb 17q21 ERBB2 amplicon is not associated with breast cancer risk in British women.
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InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.
PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups
InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM
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MatchMiner: a tool for batch navigation among gene and gene product identifiers.
PMID 12702208 · PMC154578 · Genome biology · 2003 · 8 claims · 3 setups
MatchMiner's LookUp function automates batch translation of an input list of gene identifiers into a matching list of a different identifier type.
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Has reproduction · 78
Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.
PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups
A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response
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Has reproduction · 78
Single duplex DNA sequencing with CODEC detects mutations with high sensitivity.
PMID 37106072 · PMC10181940 · Nature genetics · 2023 · 8 claims · 8 setups
CODEC concatenates both strands of an original DNA duplex into a single NGS read pair via an adapter quadruplex and strand-displacing extension, enabling single-duplex resolution
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Has reproduction · 81
Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.
PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups
SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains
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Has reproduction · 95
OptiType: precision HLA typing from next-generation sequencing data.
PMID 25143287 · PMC4441069 · Bioinformatics (Oxford, England) · 2014 · 8 claims · 8 setups
OptiType, an ILP-based HLA genotyping algorithm, produces accurate four-digit HLA-I predictions from NGS data not enriched for the HLA cluster.
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Integrating complex genomic datasets and tumour cell sensitivity profiles to address a 'simple' question: which patients should get this drug?
PMID 20003409 · PMC2799438 · BMC medicine · 2009 · 8 claims · 5 setups
A panel of 48 genomically characterized breast cancer cell lines can model patient tumour heterogeneity to identify biomarkers predicting response to PG-11047
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Has reproduction · 83
Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.
PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups
170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions
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Towards precise classification of cancers based on robust gene functional expression profiles.
PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups
Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets
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Network-assisted protein identification and data interpretation in shotgun proteomics.
PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups
Confidently identified proteins in a sample form tightly connected sub-networks in the protein interaction network, with significantly higher clustering coefficients than random or topology-matched random sub-networks.