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).
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Full-text index only
A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.
PMID 19941644 · PMC2789744 · BMC bioinformatics · 2009 · 7 claims · 4 setups
Feature variability strongly influences breast cancer signature composition even when array platform and patient stratification are identical.
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Statistical challenges in preprocessing in microarray experiments in cancer.
PMID 18829474 · PMC3529914 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2008 · 8 claims · 7 setups
Choice of pre-processing method materially changes which features are found significantly associated with survival in the Beer et al. lung cancer microarray dataset
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Has reproduction · 69
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.
PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 7 claims · 8 setups
An ensemble feature selection method based on classifier consensus identifies a robust 100-miRNA signature from TCGA data.
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Has reproduction · 50
STAT1 and IL-7 as potential diagnostic biomarkers for distinguishing high-grade from low-grade serous ovarian cancer: a multi-cohort analysis.
PMID 42058211 · PMC13120972 · Frontiers in immunology · 2026 · 7 claims · 6 setups
STAT1 and IL-7 are differentially expressed immune-related genes that can distinguish HGSOC from LGSOC and may serve as ancillary diagnostic biomarkers.
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Has reproduction · 59
Integrating multi-omics data reveals the antitumor role and clinical benefits of gamma-delta T cells in triple-negative breast cancer.
PMID 40197136 · PMC11974128 · BMC cancer · 2025 · 8 claims · 8 setups
High γδT cell infiltration is associated with favorable prognosis in TNBC but not in HR-positive or HER2-positive breast cancer
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Has reproduction · 67
Research and experimental verification on the mechanisms of cellular senescence in triple-negative breast cancer.
PMID 38435998 · PMC10909353 · PeerJ · 2024 · 8 claims · 8 setups
TNBC can be classified into three molecular subtypes (clusters 1, 2, 3) based on cellular senescence-related pathways, with distinct prognoses (cluster 1 best, then 2, then 3).
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Has reproduction · 48
Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.
PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups
A hybrid signature combining the Nottingham Prognostic Index with SIS-selected gene expressions can be built in a data-driven fashion (NPI treated as a gene expression during feature selection).
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Has reproduction
Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling.
PMID 40993300 · PMC12460824 · NPJ digital medicine · 2025 · 8 claims · 7 setups
A ResNet classifier built on a 10-gene metabolic signature distinguishes all thyroid cancer differentiation states with ~92.7% average accuracy.
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Proteomics as a tool for biomarker discovery.
PMID 18057524 · PMC3851415 · Disease markers · 2007 · 8 claims · 7 setups
A useful clinical biomarker must be easily attainable, have adequate sensitivity, have adequate specificity, and lead to patient benefit through intervention
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Has reproduction · 80
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
WGCNA identified 214 key genes in the blue module most correlated with LUAD
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Has reproduction · 49
Integrative transcriptomics and single-cell transcriptomics analyses reveal potential biomarkers and mechanisms of action in papillary thyroid carcinoma.
PMID 40520228 · PMC12162626 · Frontiers in genetics · 2025 · 8 claims · 8 setups
ENTPD1, SERPINA1, and TACSTD2 are potential transcriptomic biomarkers for PTC
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Has reproduction · 62
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
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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Has reproduction · 83
Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets.
PMID 35901020 · PMC9333302 · PloS one · 2022 · 7 claims · 3 setups
A Reproducibility Score, RS(D,BD), defined as the average Jaccard overlap between biomarker sets found by the same discovery process on comparable datasets from the same distribution, quantifies biomarker reproducibility on a 0-1 scale
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Has reproduction · 55
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
352 DEGs (198 up-regulated, 154 down-regulated) were identified between RPL and control endometrial samples
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Has reproduction · 75
stDyer-image improves clustering analysis of spatially resolved transcriptomics and proteomics with morphological images.
PMID 41692960 · PMC12960910 · Bioinformatics (Oxford, England) · 2026 · 7 claims · 5 setups
stDyer-image is an end-to-end deep learning framework that directly associates image features with predicted cluster labels to improve clustering of SRT and SRP data with images.
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SePaCS--a web-based application for classification of seroreactivity profiles.
PMID 17478503 · PMC1933220 · Nucleic acids research · 2007 · 8 claims · 4 setups
SePaCS is a freely available web-based tool that trains and applies multiple classification methods (4 Naive Bayes variants, SVM with RBF kernel, LDA, DLDA) to seroreactivity profiles and outputs results as a summary table plus a detailed PDF report