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).

• The molecular characterization and clinical management of multiple myeloma in the post-genome era.

  PMID 19657360 · PMC3686133 · Leukemia · 2009 · 8 claims · 8 setups

  Full-text index only

  GEP identifies distinct molecular subgroups of MM associated with differing clinical features and survival outcomes

  myeloma cd138-immunomagnetically plasma bone-marrow filter-based gene-expression targeted

• CLEAN: CLustering Enrichment ANalysis.

  PMID 19640299 · PMC2734555 · BMC bioinformatics · 2009 · 8 claims · 4 setups

  Full-text index only

  The gene-specific CLEAN score improves reproducibility of cluster analysis conclusions across independent datasets compared to the traditional cluster-wide score (cwCLEAN).

  four breast combined hierarchical cluster csimm-based

• Bioinformatics Analysis of the Characteristics and Correlation of m6A Methylation in Breast Cancer Progression.

  PMID 35655723 · PMC9148239 · Contrast media & molecular imaging · 2022 · 8 claims · 8 setups

  Has reproduction · 48

  Breast cancer samples can be classified into 4 m6A subtypes (quiescent, m6A methylation, protein-binding, mixed) based on Z-score median of Set1 (writer+reader) and Set2 (eraser) gene expression

  breast tcga-brca gse25066 bioinformatics survival alternative

• 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

  Has reproduction · 71

  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.

  breast colorectal brca representative gene comparative multi-omic

• 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

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  Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity

  breast early-stage diffuse dlbcl gene

• A taxonomy of epithelial human cancer and their metastases.

  PMID 20017941 · PMC2806369 · BMC medical genomics · 2009 · 8 claims · 6 setups

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  Unsupervised hierarchical clustering of 1566 primary epithelial tumors yields large tissue-enriched clusters (breast, colon/GI, lung, ovary, kidney) plus smaller prostate, thyroid-kidney, and mixed clusters

  epithelial tumor metastatic breast microarray gene fisher

• 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

• Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.

  PMID 39856156 · PMC11760357 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 83

  Ten multiomics clustering algorithms identify two distinct lactylation cancer subtypes (CS1 and CS2) in LUAD

  tcga gse13213 gse31210 multiomics closest ssgsea

• stDyer-image improves clustering analysis of spatially resolved transcriptomics and proteomics with morphological images.

  PMID 41692960 · PMC12960910 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 5 setups

  Has reproduction · 75

  stDyer-image directly associates the image modality with predicted cluster labels rather than using images to enhance/impute gene expression data

  non-small morphology brain breast spatial image

• Transcription network construction for large-scale microarray datasets using a high-performance computing approach.

  PMID 18366618 · PMC2386070 · BMC genomics · 2008 · 8 claims · 7 setups

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  RMT removes the random noise component of the gene expression correlation matrix by testing its eigenvalue statistics against a null hypothesis derived from a truly random correlation matrix

  yeast liver eight-node microarray k-means hybrid

• CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.

  PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 4 setups

  Has reproduction · 87

  CoINcIDE is a novel framework for discovering patient subtypes across multiple datasets that requires no between-dataset transformations (e.g., batch correction)

  breast ovarian simulated gene consensus simulated

• A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.

  PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups

  Has reproduction · 91

  DeClust is a reference-profile-free deconvolution method that incorporates molecular subtyping directly into the deconvolution process, outputting cohort-level cancer subtype and stromal reference profiles rather than per-individual profiles

  tcga simulated muscle-invasive ccrcc computational simulation-based deconvolution

• Comprehensive analysis of a novel RNA modifications-related model in the prognostic characterization, immune landscape and drug therapy of bladder cancer.

  PMID 37124622 · PMC10131083 · Frontiers in genetics · 2023 · 8 claims · 8 setups

  Has reproduction · 71

  Two distinct RNA modification patterns exist among BCa samples with radically varying clinical outcomes and biological characteristics

  meta-geo tcga-blca bca genomics unsupervised lasso weighted

• iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.

  PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal

  nsclc coad brca tcga scrna-seq bulk rna-seq

• Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes.

  PMID 37190091 · PMC10137100 · Cells · 2023 · 8 claims · 8 setups

  Has reproduction · 54

  Single-cell transcriptomic analysis of EPCAM+Lin- epithelial cells identified unique gene signatures/markers that distinguish ER+, HER2+, ER+HER2+, and TNBC molecular subtypes

  breast epcam+cd45-cd8a-cd4-cd19-cd3e cancer identified single-cell differential crispr-cas9

• Iterative class discovery and feature selection using Minimal Spanning Trees.

  PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups

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  Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering

  simulated breast acute diffuse synthetic cdna microarray

• Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.

  PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 8 setups

  Has reproduction · 83

  CHCT, a two-tier hierarchical classification tool built from methylation data, accurately classifies primary cancer type across 30 cancer types.

  tumor clinical methylation clustered methylation unsupervised anova

• Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer.

  PMID 36232369 · PMC9569723 · International journal of molecular sciences · 2022 · 8 claims · 8 setups

  Has reproduction · 87

  Common genes shared across five cancer types differ from those found in nonmalignant tissue-resident T-cells for each subset (CD4-T, CD8-T, Treg)

  breast lung colorectal melanoma single-cell gene reactome

• Identification of novel gene amplifications in breast cancer and coexistence of gene amplification with an activating mutation of PIK3CA.

  PMID 19706770 · PMC2745517 · Cancer research · 2009 · 8 claims · 8 setups

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  Genome-wide DNA copy number analysis of 161 primary breast tumors identified six novel focally amplified genes: POLD3, IRAK4, IRX2, TBL1XR1, ASPH, and BRD4

  breast mcf10a mcf10ca1h snp quantitative rt-qpcr

• Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.

  PMID 41053409 · PMC12500777 · Cancer metastasis reviews · 2025 · 8 claims · 8 setups

  Has reproduction

  A 12-step CTC-specific scRNA-seq workflow is proposed, spanning enrichment, single-cell sorting, sequencing, data pre-processing and downstream analysis, to overcome methodological inconsistencies in the field.

  ctcs pooled single neuroblastoma scrna-seq multi-omics