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).

• 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

• Identification of gene interactions associated with disease from gene expression data using synergy networks.

  PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups

  Full-text index only

  Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.

  prostate simulated microarray simulated permutation

• Loss of long-range co-expression is a common feature in cancer.

  PMID 41935098 · PMC13247121 · NPJ systems biology and applications · 2026 · 8 claims · 7 setups

  Full-text index only

  In cancer, the strongest co-expressed gene pairs (top MI values) are predominantly intra-chromosomal, unlike in normal tissue.

  tissues same bladder cancer bulk differential bootstrap

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

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

  Full-text index only

  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

• Gene Dosage Analysis on the Single-Cell Transcriptomes Linking Cotranslational Protein Targeting to Metastatic Triple-Negative Breast Cancer.

  PMID 34577617 · PMC8472593 · Pharmaceuticals (Basel, Switzerland) · 2021 · 8 claims · 7 setups

  Has reproduction · 53

  A computational framework mapping single-cell Z-score expression to matched patient-level CNV data can identify recurrent, cross-cell-type copy-number-driven expression (dosage) events.

  tnbc independent cng-up breast single-cell gene network

• Autoencoder Networks Decipher the Association between Lung Cancer and Alzheimer's Disease.

  PMID 36518809 · PMC9744611 · Computational intelligence and neuroscience · 2022 · 7 claims · 6 setups

  Has reproduction · 74

  AE networks trained on the 266 shared DEGs reveal a comorbidity (positive correlation) relationship between Alzheimer's disease and lung cancer, rather than the inverse relationship suggested by prior epidemiological studies.

  integrated expression overlapped moderated autoencoder pathway

• Correcting scale distortion in RNA sequencing data.

  PMID 39875825 · PMC11776150 · BMC bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 76

  Local averaging reveals expression-level-dependent biases that differ from sample to sample across all RNA-seq datasets studied, and are not corrected by conventional normalization (TPM/FPKM)

  tcga su2c gse47774 gtex bulk computational d'agostino

• 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