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).

• Pathway signatures derived from on-treatment tumor specimens predict response to anti-PD1 blockade in metastatic melanoma.

  PMID 34654806 · PMC8519947 · Nature communications · 2021 · 6 claims · 8 setups

  Has reproduction · 100

  A pathway-based super signature from on-treatment samples (PASS-ON) predicts anti-PD1 response with high accuracy (validation AUC 0.85-0.89, combined AUC 0.88) and outperforms existing signatures across all four datasets.

  metastatic pathway bulk gene elastic-net

• B-RAF and N-RAS mutations are preserved during short time in vitro propagation and differentially impact prognosis.

  PMID 17311103 · PMC1794595 · PloS one · 2007 · 5 claims · 4 setups

  Full-text index only

  B-RAF and N-RAS mutation status is well preserved (strongly concordant) between tumor tissue biopsies and corresponding short-term in vitro propagated cell lines.

  tumor biopsy-derived metastatic pcr direct survival

• Differential Infiltration of Key Immune T-Cell Populations Across Malignancies Varying by Immunogenic Potential and the Likelihood of Response to Immunotherapy.

  PMID 39682743 · PMC11640164 · Cells · 2024 · 8 claims · 5 setups

  Has reproduction

  Estimated T-cell infiltration differs significantly across melanoma, bladder, ovarian, and pancreatic cancers, tracking known immunogenic potential.

  tumor melanoma orien bulk gene kaplan-meier

• Towards precise classification of cancers based on robust gene functional expression profiles.

  PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups

  Full-text index only

  Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets

  nci60 lymphoma fep go-annotated cdna recursive hypergeometric

• SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.

  PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 6 claims · 5 setups

  Has reproduction · 77

  SurvConvMixer, using pathway-level gene expression images and ConvMixer, achieves strong internal validation AUC for overall survival prediction, especially on larger datasets like LUAD

  luad lusc skcm trained deep benchmark model

• Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.

  PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 8 claims · 8 setups

  Has reproduction

  Tree-based (XGBoost, LightGBM) and deep-learning (TabNet) tabular ML classifiers achieve state-of-the-art somatic vs germline classification in tumor-only WES samples, outperforming PureCN.

  tcga same metastatic tumor-only whole-exome wes copy-number

• A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

  PMID 18631455 · PMC2727981 · Immunity · 2008 · 7 claims · 8 setups

  Full-text index only

  Transcriptional modules constructed from coordinately expressed genes across 8 diseases form stable, biologically coherent functional units

  pbmc genes monocytes original microarray literature stimulation

• PURE-seq integrates FACS and PIP-seq for single-cell genomics of ultra-rare cells.

  PMID 41565684 · PMC12881479 · Nature communications · 2026 · 8 claims · 8 setups

  Full-text index only

  PURE-seq integrates FACS sorting directly into PIP-seq barcoding reaction tubes, minimizing manual handling and cell loss for rare-cell single-cell sequencing.

  hek293t pbmcs melanoma bone single-cell infercnv gene

• scSurv: a deep generative model for single-cell survival analysis.

  PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

  Full-text index only

  scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes

  simulated tcga melanoma renal scrna-seq bulk single-cell