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).

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

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 8 claims · 5 setups

  Has reproduction · 62

  A DNN model built on 34 top-ranked hub genes achieves the highest prediction accuracy (AUC 92.11%) for distinguishing primary from bone-metastasized tumors

  breast degs geo tcga microarray protein-protein machine

• Targeted and personalized immunotherapy in lung adenocarcinoma: single-cell RNA sequencing of MAFF+ tumor cells and the therapeutic potential of FOS.

  PMID 40936936 · PMC12420628 · Frontiers in immunology · 2025 · 7 claims · 8 setups

  Has reproduction · 71

  A highly stem-like C0 MAFF+ tumor cell subtype dominates invasive LUAD, producing chemokines and activating lipid metabolism

  luad tumor a549 single-cell infercnv pseudotime

• Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.

  PMID 35117753 · PMC8799101 · Translational cancer research · 2020 · 8 claims · 5 setups

  Has reproduction · 32

  Naïve Bayes using a 22-gene panel is the best-performing and most stable machine learning model for predicting LUAD survival time (>3 vs <3 years)

  tcga geo rna-seq methylation sequencing

• Genomic and transcriptomic plasticity in treatment-naive ovarian cancer.

  PMID 24221193 · PMC3912411 · Genome research · 2014 · 8 claims · 8 setups

  Has reproduction · 30

  Treatment-naïve epithelial ovarian cancers show extensive intra-tumor heterogeneity of genomic rearrangements, with the most substantial differences occurring between omentum/peritoneum metastases and ovarian tumor sites.

  tumor each rna-seq whole-genome targeted pcr-based

• Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.

  PMID 31836713 · PMC6911112 · Nature communications · 2019 · 8 claims · 6 setups

  Has reproduction · 100

  Exploratory adaptation (stochastic gene-regulatory network perturbation) explains how GBM cells adapt phenotypically across spatially distinct tumor regions

  patient-derived low-grade tf-gene single-sample bulk differential gene

• Design and analysis issues in genome-wide somatic mutation studies of cancer.

  PMID 18692126 · PMC2820387 · Genomics · 2009 · 6 claims · 4 setups

  Full-text index only

  Two-stage (discovery + validation) sequencing designs efficiently allocate resources and can produce highly informative candidate driver gene lists even with relatively small sample sizes.

  hypothetical panel colorectal germline simulation targeted genome-wide

• Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues.

  PMID 34056582 · PMC8155268 · Frontiers in artificial intelligence · 2021 · 8 claims · 6 setups

  Has reproduction · 92

  MCF-7 cell lines and human breast cancer tissues show only minimal similarity in biological processes, though some fundamental functions like cell cycle are conserved.

  mcf-7 breast wgcna-derived top bulk microarray rsem-normalized

• Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling.

  PMID 24888378 · PMC4070569 · BMC genomics · 2014 · 8 claims · 8 setups

  Has reproduction · 77

  Ribo-Zero-Seq removes rRNA with efficiency comparable to poly(A)-based mRNA-Seq in both FF and FFPE RNA, whereas DSN-Seq leaves significantly more rRNA and shows greater variation.

  fresh-frozen ffpe breast unc microarray mrna-seq ribo-zero-seq

• 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

• Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.

  PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 5 setups

  Has reproduction · 83

  CHCT, a hierarchical classification tool, splits classification of 30 cancer types into ten smaller subproblems using a two-tier architecture to classify primary cancer by methylation profile

  cancer clinical training independent methylation upgma random

• 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 classified into 4 m6A subtypes (quiescent, m6A methylation, protein-binding, mixed) based on Z-score median of Set1 (writer+reader) and Set2 (eraser) gene expression

  breast tcga-brca gse25066 bioinformatics survival alternative

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.

  hepatocellular breast sporadic geo gene differential interaction

• 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

• Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.

  PMID 34143800 · PMC8213194 · PloS one · 2021 · 8 claims · 7 setups

  Has reproduction · 75

  306 overlapping DEGs (265 up-regulated, 41 down-regulated) were identified from three independent GEO microarray datasets comparing EOC and adjacent normal ovarian tissue

  eoc analysis overlapping pubmed microarray kegg protein-protein

• Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature.

  PMID 37076665 · PMC10115855 · NPJ precision oncology · 2023 · 8 claims · 8 setups

  Has reproduction · 50

  A convergent-phenotype-based seed gene/co-expression method can extract consensus gene expression signatures predictive of response to chemotherapeutic drugs in the GDSC database

  epithelial-based tcga gdsc muscle-invasive differential co-expression signature

• A taxonomy of epithelial human cancer and their metastases.

  PMID 20017941 · PMC2806369 · BMC medical genomics · 2009 · 8 claims · 6 setups

  Full-text index only

  Unsupervised hierarchical clustering of 1566 primary epithelial tumors yields large tissue-enriched clusters (breast, colon/GI, lung, ovary, kidney) plus smaller prostate, thyroid-kidney, and mixed clusters

  epithelial tumor metastatic breast microarray gene fisher

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

  Full-text index only

  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal

• Hypoxia-associated genes as predictors of outcomes in gastric cancer: a genomic approach.

  PMID 40129974 · PMC11931070 · Frontiers in immunology · 2025 · 8 claims · 8 setups

  Has reproduction · 96

  A prognostic model built from five H1-specific hypoxia-associated transcription factors (EHF, EIF1AD, GLA, KEAP1, MAGED2) predicts overall survival in STAD, with high-risk patients showing significantly worse OS.

  gastric gene scrna-seq tcga single-cell wgcna cell-cell

• Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry.

  PMID 17166507 · PMC7094463 · Journal of chromatography. A · 2007 · 8 claims · 8 setups

  Full-text index only

  Standardizing sample preparation procedures for serum/plasma profiling is critical for obtaining reliable biomarkers, since slight procedural changes can produce very different protein profiles.

  serum aqueous maldi-tof seldi-tof peak

• In silico whole-genome screening for cancer-related single-nucleotide polymorphisms located in human mRNA untranslated regions.

  PMID 17201911 · PMC1774567 · BMC genomics · 2007 · 8 claims · 5 setups

  Full-text index only

  A computational EST-based pipeline can identify UTR-SNPs that are statistically over-represented in cancerous versus normal tissue libraries

  est acute 100-nt whole-genome est-based pcr-based secondary