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).

• Bioinformatics Analysis of the Characteristics and Correlation of m6A Methylation in Breast Cancer Progression.

  PMID 35655723 · PMC9148239 · Contrast media & molecular imaging · 2022 · 8 claims · 8 setups

  Has reproduction · 48

  Breast cancer samples can be divided into 4 m6A subtypes (quiescent, m6A methylation, protein-binding, mixed) based on expression of m6A-related genes, with consistent proportions across datasets

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• Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.

  PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups

  Has reproduction · 84

  A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts

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• 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.

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• Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.

  PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 7 claims · 8 setups

  Has reproduction · 69

  An ensemble feature selection method based on classifier consensus identifies a robust 100-miRNA signature from TCGA data.

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• iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type-Specific Markers of Immune-Cell Infiltration.

  PMID 37023414 · PMC10236149 · Cancer immunology research · 2023 · 8 claims · 8 setups

  Has reproduction · 94

  Malignant cells cluster by patient in scRNA-seq data while immune and stromal cells cluster by cell type, making malignant cells uniquely suited to carry patient-level inflamed/cold signal

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• SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering.

  PMID 39775401 · PMC11709272 · PloS one · 2025 · 8 claims · 5 setups

  Has reproduction · 81

  SEMdag() is a two-step order-based algorithm for fast learning of high-dimensional linear SEMs, using knowledge-based (KB) or data-driven bottom-up (BU) node/layer ordering followed by penalized (L1) DAG estimation

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• Detecting aberrant DNA methylation in Illumina DNA methylation arrays: a toolbox and recommendations for its use.

  PMID 37218167 · PMC10208159 · Epigenetics · 2023 · 8 claims · 7 setups

  Has reproduction · 73

  Probe-specific upper and lower thresholds for flagging aberrant DNA methylation can be derived from a reference database of >2,000 normal and tumour-adjacent normal samples spanning 25 tissue types.

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• Iterative class discovery and feature selection using Minimal Spanning Trees.

  PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups

  Full-text index only

  Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering

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• 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

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