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).

• 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

• Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.

  PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups

  Has reproduction · 86

  A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.

  known tnbc unique unknown gene machine term

• Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.

  PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups

  Has reproduction · 78

  A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response

  colorectal matched combined expression microarray rna-seq consensus

• Emergent dynamics of underlying regulatory network links EMT and androgen receptor-dependent resistance in prostate cancer.

  PMID 36851919 · PMC9957767 · Computational and structural biotechnology journal · 2023 · 8 claims · 7 setups

  Has reproduction · 78

  Simulations of the EMT-AR crosstalk network reveal four possible phenotypes: epithelial-sensitive (ES), epithelial-resistant (ER), mesenchymal-resistant (MR), and mesenchymal-sensitive (MS), with MS occurring rarely

  gene racipe clinical tcga racipe influence principal

• A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells.

  PMID 34316714 · PMC8271219 · NAR cancer · 2021 · 7 claims · 8 setups

  Has reproduction · 85

  EMT and tamoxifen-resistance (TamR) regulatory axes can drive one another, enabling non-genetic heterogeneity via six co-existing phenotypes (ES, ER, HS, HR, MS, MR)

  gene same randomized publicly racipe stochastic randomized

• Topological signatures in regulatory network enable phenotypic heterogeneity in small cell lung cancer.

  PMID 33729159 · PMC8012062 · eLife · 2021 · 7 claims · 6 setups

  Has reproduction · 94

  Discrete (Boolean/Ising) and continuous (RACIPE) simulations of the SCLC regulatory network yield similar multistable phenotypic distributions, with four dominant steady states (X1-X4) that map onto experimentally observed SCLC molecular subtypes.

  sclc randomized mutant boolean racipe network

• Core transcriptional signatures of phase change in the migratory locust.

  PMID 31292921 · PMC6881432 · Protein & cell · 2019 · 8 claims · 7 setups

  Has reproduction · 60

  PhaseCore genes defined by AC-PCA contribution to phase differentiation predict phase status with >87.5% accuracy

  locusta integrated bulk rnai computational

• A systems-level analysis of the mutually antagonistic roles of RKIP and BACH1 in dynamics of cancer cell plasticity.

  PMID 37963558 · PMC10645512 · Journal of the Royal Society, Interface · 2023 · 8 claims · 7 setups

  Has reproduction · 95

  RKIP and BACH1 are negatively correlated with each other across most cancer types in TCGA

  tcga er+ ccle computational spearman correlation gene

• MALDI profiling of human lung cancer subtypes.

  PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups

  Full-text index only

  PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes

  lung tryptic peak ffpe maldi-tof parallel stepwise