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).

• Improving melanoma classification by integrating genetic and morphologic features.

  PMID 18532874 · PMC2408611 · PLoS medicine · 2008 · 7 claims · 5 setups

  Full-text index only

  BRAF-mutant melanomas show distinct morphological features (upward migration and nesting of intraepidermal melanocytes, epidermal thickening, sharper lateral demarcation, larger/rounder/more pigmented tumor cells) compared to non-mutant melanomas

  archival same subset patients histopathological mutation quantitative

• Wx: a neural network-based feature selection algorithm for transcriptomic data.

  PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups

  Has reproduction · 50

  The Wx algorithm ranks genes using a DI score reflecting each gene's classification power for distinguishing two groups.

  tcga gse72056 gse40419 gse103322 bulk single-cell rna-seq

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

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

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  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

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

  PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 7 claims · 8 setups

  Has reproduction

  Tabular ML classifiers (TabNet, XGBoost, LightGBM) trained on tumor-only-derived features achieve state-of-the-art somatic vs germline classification, with AUC>94% on TCGA holdout and AUC>85% on metastatic melanoma.

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

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk

• DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction.

  PMID 41417875 · PMC12795466 · PLoS computational biology · 2025 · 7 claims · 5 setups

  Has reproduction

  DAGFormer constructs cellular neighbor graphs using diverse topological strategies to represent intercellular interactions for drug response prediction

  pan-cancer jhu006 scc47 pc9 bulk scrna-seq