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).

• 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

• The potential of optical proteomic technologies to individualize prognosis and guide rational treatment for cancer patients.

  PMID 19756916 · PMC2778706 · Targeted oncology · 2009 · 8 claims · 5 setups

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  Genomic/gene expression profiling alone is insufficient to identify tumors with molecular pathway changes predictive of treatment outcome; protein-level functional assessment (activation states, PTMs, interactions) is also required

  microarray ffpe models cancer immunohistochemistry fret fret-flim

• Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.

  PMID 39779736 · PMC11711664 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 74

  540 DEGs overlap across breast, colorectal, and lung cancers out of 11,384 DEGs analyzed

  breast colorectal lung common microarray kegg protein-protein

• 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

• 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

• Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues.

  PMID 34056582 · PMC8155268 · Frontiers in artificial intelligence · 2021 · 8 claims · 6 setups

  Has reproduction · 92

  MCF-7 cell lines and human breast cancer tissues show only minimal similarity in biological processes, though some fundamental functions like cell cycle are conserved.

  mcf-7 breast wgcna-derived top bulk microarray rsem-normalized

• 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

  Has reproduction · 83

  170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions

  afb1 breast training candidate computational bulk weighted

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  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

  genes cancer interpro interactome averaged cross-validation domain

• Prediction of prognostic signatures in triple-negative breast cancer based on the differential expression analysis via NanoString nCounter immune panel.

  PMID 33138797 · PMC7607642 · BMC cancer · 2020 · 8 claims · 8 setups

  Has reproduction · 72

  edgeR-based DEG selection is more appropriate for feature selection than Elastic Net when sample sizes are small.

  ffpe same nanostring tnbc nanostring immunohistochemistry differential

• A new era for proteomics research?

  PMID 19014405 · PMC2614486 · Genome biology · 2008 · 8 claims · 8 setups

  Full-text index only

  Refined mass spectrometry instrumentation and software now make whole-proteome coverage of model organisms in a single experiment conceivable

  proteins lines kinases breast mass silac kinase-specific

• Human disease classification in the postgenomic era: a complex systems approach to human pathobiology.

  PMID 17625512 · PMC1948102 · Molecular systems biology · 2007 · 8 claims · 5 setups

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  Current syndromic disease classification lacks specificity despite historically serving clinicians well

  prostate neurodegenerative experimental genetic reverse-engineered protein-protein gene

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  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.

  hepatocellular breast sporadic geo gene differential interaction

• A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection.

  PMID 36609152 · PMC9850185 · STAR protocols · 2023 · 5 claims · 5 setups

  Has reproduction · 92

  The protocol identifies genes that are both statistically associated with a phenotype and functionally interconnected in a biological network

  case-control gene-gene fictional familial snp-phenotype gene-level network-guided