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).

• Comprehensive analysis of transcriptomics and radiomics revealed the potential of TEDC2 as a diagnostic marker for lung adenocarcinoma.

  PMID 39553728 · PMC11569783 · PeerJ · 2024 · 8 claims · 8 setups

  Has reproduction · 80

  WGCNA identified 214 key genes in the blue module most correlated with LUAD

  tcga-luad merged tedc2-associated a549 wgcna differential machine

• 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

• 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

  tcga-brca triple-negative ffpe bulk univariate kaplan-meier

• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.

  PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 8 claims · 7 setups

  Has reproduction · 84

  DeepProg is a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data

  cancer breast hepatocarcinoma tcga multi-omics gene rna-seq

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups

  Has reproduction · 62

  A DNN model using the top 34 betweenness-centrality-ranked hub genes predicts bone metastasis with AUC of 92.11% on the GEO validation data.

  breast degs geo tcga gene protein-protein machine

• Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.

  PMID 37691920 · PMC10485775 · Frontiers in immunology · 2023 · 8 claims · 8 setups

  Has reproduction · 55

  352 DEGs (198 up-regulated, 154 down-regulated) were identified between RPL and control endometrial samples

  endometrial degs hub decidua microarray wgcna machine