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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CGMIM: automated text-mining of Online Mendelian Inheritance in Man (OMIM) to identify genetically-associated cancers and candidate genes.
PMID 15796777 · PMC1274267 · BMC bioinformatics · 2005 · 8 claims · 2 setups
CGMIM is a Perl program that text-mines OMIM entries to identify cancer-gene associations and genetically-related cancer type pairs.
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The field of tissue injury in the lung and airway.
PMID 19138985 · PMC2705781 · Cancer prevention research (Philadelphia, Pa.) · 2008 · 8 claims · 8 setups
Field cancerization and the field of injury reflect molecular changes (genomic, epigenomic, transcriptomic, proteomic) present in histologically normal-appearing tissue distant from and independent of a tumor, throughout the carcinogen-exposed respiratory epithelium
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Identification of genes associated with multiple cancers via integrative analysis.
PMID 19919702 · PMC2785840 · BMC genomics · 2009 · 8 claims · 8 setups
Mc.TGD (Multi-cancer Threshold Gradient Descent) is the first regularized approach to conduct two-dimensional selection of genes with joint effects on cancer development across multiple cancers.
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Has reproduction · 50
Wx: a neural network-based feature selection algorithm for transcriptomic data.
PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups
The Wx algorithm ranks genes using a DI score reflecting each gene's classification power for distinguishing two groups.
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Has reproduction · 83
Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets.
PMID 35901020 · PMC9333302 · PloS one · 2022 · 8 claims · 6 setups
Non-reproducibility is a common problem in biomarker discovery: independently derived biomarker sets for the same phenotype frequently share very few features across studies
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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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Overview of microarray analysis of gene expression and its applications to cervical cancer investigation.
PMID 18182341 · PMC7129792 · Taiwanese journal of obstetrics & gynecology · 2007 · 6 claims · 5 setups
Oligonucleotide microarray and cDNA microarray are the two main microarray platforms used to study gene expression genome-wide.
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CancerGenes: a gene selection resource for cancer genome projects.
PMID 17088289 · PMC1781153 · Nucleic acids research · 2007 · 6 claims · 4 setups
CancerGenes is a gene list-centric web resource that combines expert-annotated gene lists with data from public databases (Entrez Gene, Ensembl BioMart, Kim et al. promoter data, Sanger COSMIC) to support gene selection for cancer re-sequencing projects.
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An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.
PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups
A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.
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COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer.
PMID 19906727 · PMC2808858 · Nucleic acids research · 2010 · 8 claims · 6 setups
COSMIC is the largest public resource for information on somatically acquired mutations in human cancer, freely available without restriction
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Intragenic homozygous deletions of MTS1 gene in gastric cancer in Taiwan.
PMID 8957063 · PMC5921000 · Japanese journal of cancer research : Gann · 1996 · 5 claims · 4 setups
Homozygous deletions of exon 1 of the MTS1 gene were found in 5 of 55 (9.1%) primary gastric tumors.
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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design
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Has reproduction
Association between Arsenic Level, Gene Expression in Asian Population, and In Vitro Carcinogenic Bladder Tumor.
PMID 35039759 · PMC8760535 · Oxidative medicine and cellular longevity · 2022 · 8 claims · 5 setups
A unique set of 147 genes is associated with arsenic exposure and linked to molecular mechanisms of cancer.
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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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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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Genome wide identification of recessive cancer genes by combinatorial mutation analysis.
PMID 18846217 · PMC2557123 · PloS one · 2008 · 7 claims · 4 setups
A combinatorial mutation analysis identified 154 candidate recessive cancer genes (pRecessiveCancer<1.5x10-7, FDR=0.39)
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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.
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Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.
PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups
Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity
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A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia.
PMID 19861443 · PMC2783430 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2009 · 8 claims · 8 setups
A genomic signature derived from CLL patient leukemic cells significantly differentiates stable from progressive disease
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Has reproduction · 80
Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.
PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups
Combining WGCNA hub genes and VAE 10-dimensional representation as features for an SVM classifier achieves high accuracy in predicting CRC