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).

• Short tandem repeats in human exons: a target for disease mutations.

  PMID 18789129 · PMC2543027 · BMC genomics · 2008 · 8 claims · 6 setups

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  STRs are present in exons of 92% of known human genes, unlike longer tandem repeats which are rare in exons

  reference genome genes genome-wide indel disease

• Discovering cancer genes by integrating network and functional properties.

  PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups

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  Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes

  genes gene colon ppi pfam term

• Convergence of mutation and epigenetic alterations identifies common genes in cancer that predict for poor prognosis.

  PMID 18507500 · PMC2429944 · PLoS medicine · 2008 · 7 claims · 7 setups

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  At least 36 of the 189 newly mutated CAN genes are targets of promoter CpG island hypermethylation, often in both colon and breast cancer cell lines

  breast same selected hct116 expression methylation-specific rt-pcr

• Wx: a neural network-based feature selection algorithm for transcriptomic data.

  PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups

  Has reproduction · 50

  The Wx algorithm ranks genes using a DI score reflecting each gene's classification power for distinguishing two groups.

  tcga gse72056 gse40419 gse103322 bulk single-cell rna-seq

• 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

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  COSMIC is the largest public resource for information on somatically acquired mutations in human cancer, freely available without restriction

  cancer tumour manual semi-automated candidate

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 8 claims · 5 setups

  Has reproduction · 62

  A DNN model built on 34 top-ranked hub genes achieves the highest prediction accuracy (AUC 92.11%) for distinguishing primary from bone-metastasized tumors

  breast degs geo tcga microarray protein-protein machine

• Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.

  PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups

  Has reproduction · 80

  Combining WGCNA hub genes and VAE 10-dimensional representation as features for an SVM classifier achieves high accuracy in predicting CRC

  colorectal same combined meturquoise microarray differential batch

• Decreased expression of the Id3 gene at 1p36.1 in ovarian adenocarcinomas.

  PMID 11161400 · PMC2363740 · British journal of cancer · 2001 · 7 claims · 7 setups

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  Id3 mRNA and protein expression are decreased in ovarian cancer cell lines compared to immortalized HOSE cells

  hose ovarian cdna semi-quantitative northern

• Identification of genes associated with multiple cancers via integrative analysis.

  PMID 19919702 · PMC2785840 · BMC genomics · 2009 · 8 claims · 8 setups

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  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.

  breast kidney liver lung gene wilcoxon

• Identification of candidate prostate cancer genes through comparative expression-profiling of seminal vesicle.

  PMID 18500686 · PMC2516917 · The Prostate · 2008 · 8 claims · 5 setups

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  Identified 32 genes (38 cDNAs) with an expression pattern of highest levels in seminal vesicle, lower in normal prostate, and lowest in prostate cancer

  normal prostate microarray cdna cross-tissue gene

• 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

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  CGMIM is a Perl program that text-mines OMIM entries to identify cancer-gene associations and genetically-related cancer type pairs.

  omim automated manual

• Identification of succinylation-related genes in bladder cancer: integration of single-cell and transcriptomic data.

  PMID 42220482 · PMC13218921 · Frontiers in immunology · 2026 · 8 claims · 8 setups

  Has reproduction · 78

  KCTD16, CD3D, and GSDMB were identified as prognostic succinylation-related genes in BLCA

  soochow-blca tcga-blca gse13507 gse135337 bulk scrna-seq somatic

• Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer.

  PMID 18676839 · PMC2597340 · Cancer research · 2008 · 8 claims · 7 setups

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  MicroRNA processing components (Dicer, DGCR8) and microRNA host genes (MCM7, C9orf5) are significantly up-regulated in prostate tumors versus non-tumor tissue

  prostate subset lncap 22rv1 microrna quantitative western

• Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.

  PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups

  Has reproduction · 59

  The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance

  merged gse45827 superior differential feature comparative

• Next-generation sequencing.

  PMID 20030863 · PMC2797692 · Breast cancer research : BCR · 2009 · 8 claims · 7 setups

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  Massively parallel sequencing can simultaneously capture base-pair mutations, copy number aberrations and somatic rearrangements of a cancer genome in a single experiment

  individuals metastatic acute oestrogen whole-exome whole-genome large-scale

• Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.

  PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups

  Has reproduction · 84

  A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts

  tcga-brca triple-negative ffpe bulk univariate kaplan-meier

• Toxicogenomics research consortium sails into uncharted waters.

  PMID 12460811 · PMC1241122 · Environmental health perspectives · 2002 · 8 claims · 8 setups

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  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.

  strains nervous mice liver microarray gene toxicogenomic

• The field of tissue injury in the lung and airway.

  PMID 19138985 · PMC2705781 · Cancer prevention research (Philadelphia, Pa.) · 2008 · 8 claims · 8 setups

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  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

  bronchial saliva resected paraffin-embedded whole-genome mtdna methylation-specific

• Design and analysis issues in genome-wide somatic mutation studies of cancer.

  PMID 18692126 · PMC2820387 · Genomics · 2009 · 6 claims · 4 setups

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  Two-stage (discovery + validation) sequencing designs efficiently allocate resources and can produce highly informative candidate driver gene lists even with relatively small sample sizes.

  hypothetical panel colorectal germline simulation targeted genome-wide

• Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues.

  PMID 16188928 · PMC4631381 · Bioinformatics (Oxford, England) · 2005 · 7 claims · 4 setups

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  Genes upregulated in squamous cell lung cancer are highly connected (well-connected) nodes in the protein interactome

  squamous ophid degs oligonucleotide interaction connectivity