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).

• 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

• Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets.

  PMID 35901020 · PMC9333302 · PloS one · 2022 · 8 claims · 6 setups

  Has reproduction · 83

  Non-reproducibility is a common problem in biomarker discovery: independently derived biomarker sets for the same phenotype frequently share very few features across studies

  gse7390 geo ega tcga-brca t-test-based reproducibility genome-wide

• Expression Patterns of Immune Genes Reveal Heterogeneous Subtypes of High-Risk Neuroblastoma.

  PMID 32629858 · PMC7408437 · Cancers · 2020 · 8 claims · 8 setups

  Has reproduction · 73

  Unsupervised biclustering of 283 NB-specific immune genes stratifies HR-NB into two reproducible subtypes: ultra-high-risk (UHR-NB) and (revised) HR-NB.

  pediatric target cohorts neuroblastoma bulk spectral kaplan-meier

• Genome wide identification of recessive cancer genes by combinatorial mutation analysis.

  PMID 18846217 · PMC2557123 · PloS one · 2008 · 7 claims · 4 setups

  Full-text index only

  A combinatorial mutation analysis identified 154 candidate recessive cancer genes (pRecessiveCancer<1.5x10-7, FDR=0.39)

  refseq tp53 tumor 154-gene est paired array

• 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

• 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

  Full-text index only

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

  squamous ophid degs oligonucleotide interaction connectivity

• Emerging translational bioinformatics: knowledge-guided biomarker identification for cancer diagnostics.

  PMID 19964620 · PMC5003034 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2009 · 8 claims · 3 setups

  Full-text index only

  omniBiomarker, a web-based application, uses prior biological knowledge to identify the most biologically relevant gene ranking metric for a given clinical problem

  renal microarray qrt-pcr computational

• BRCA1 and BRCA2 missense variants of high and low clinical significance influence lymphoblastoid cell line post-irradiation gene expression.

  PMID 18497862 · PMC2375115 · PLoS genetics · 2008 · 8 claims · 6 setups

  Full-text index only

  BRCA1 and BRCA2 pathogenic mutation carriers have similar post-irradiation LCL gene expression profiles to each other, more so than to BRCAX samples without an LCS variant

  lymphoblastoid lcl gene microarray unsupervised t-test

• On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve.

  PMID 18076765 · PMC2211327 · BMC bioinformatics · 2007 · 8 claims · 4 setups

  Full-text index only

  The TGDR-AUC algorithm regularizes the empirical AUC by replacing the non-differentiable 0-1 loss with a smooth sigmoid surrogate function and applies constrained threshold gradient descent regularization

  simulated serum preprocessed simulation mass high-resolution