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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Has reproduction · 53
Gene Dosage Analysis on the Single-Cell Transcriptomes Linking Cotranslational Protein Targeting to Metastatic Triple-Negative Breast Cancer.
PMID 34577617 · PMC8472593 · Pharmaceuticals (Basel, Switzerland) · 2021 · 7 claims · 5 setups
A computational framework integrating independently measured CNV (DNA sequencing) and single-cell RNA-seq from the same patients identifies recurrent concordant copy number gain and gene upregulation (CNG-UP) events and functional modules at the single-cell level.
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Has reproduction · 51
A platelet-related signature for predicting the prognosis and immunotherapy benefit in bladder cancer based on machine learning combinations.
PMID 39280688 · PMC11399026 · Translational andrology and urology · 2024 · 8 claims · 8 setups
An Enet (alpha=0.4) machine-learning algorithm built from 10 platelet-related genes yields the optimal platelet-related signature (PRS) for bladder cancer prognosis, with average C-index 0.73
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Has reproduction · 48
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
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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Has reproduction · 40
Machine learning developed an intratumor heterogeneity signature for predicting clinical outcome and immunotherapy benefit in bladder cancer.
PMID 39100839 · PMC11291408 · Translational andrology and urology · 2024 · 8 claims · 8 setups
An integrative machine learning procedure (10 methods, 101 algorithm combinations) identified an Enet (alpha=0.2)-based intratumor heterogeneity-related signature (IRS) with the highest average C-index (0.69) across TCGA and GEO cohorts
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Has reproduction · 81
Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.
PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups
SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains
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Has reproduction
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
DAGFormer constructs cellular neighbor graphs using diverse topological strategies to represent intercellular interactions for drug response prediction
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Has reproduction · 73
Expression Patterns of Immune Genes Reveal Heterogeneous Subtypes of High-Risk Neuroblastoma.
PMID 32629858 · PMC7408437 · Cancers · 2020 · 8 claims · 8 setups
Unsupervised biclustering of 283 NB-specific immune genes stratifies HR-NB into two reproducible subtypes: ultra-high-risk (UHR-NB) and (revised) HR-NB.
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Has reproduction · 66
STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer.
PMID 32323921 · PMC7178451 · Molecular systems biology · 2020 · 8 claims · 6 setups
Low STAT3 expression in primary PCa is associated with increased OXPHOS and ribosomal biosynthesis at the transcriptomic level
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Has reproduction · 50
Wx: a neural network-based feature selection algorithm for transcriptomic data.
PMID 31324856 · PMC6642261 · Scientific reports · 2019 · 8 claims · 8 setups
The Wx algorithm ranks genes using a DI score reflecting each gene's classification power for distinguishing two groups.
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Has reproduction · 100
Identification of phenotype-specific networks from paired gene expression-cell shape imaging data.
PMID 35197309 · PMC8997347 · Genome research · 2022 · 8 claims · 5 setups
A network-based approach integrating RNA-seq and cell-shape imaging data identifies data-derived signaling networks specific to cell-shape regulation in breast cancer.
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Has reproduction · 76
Correcting scale distortion in RNA sequencing data.
PMID 39875825 · PMC11776150 · BMC bioinformatics · 2025 · 8 claims · 8 setups
Local averaging reveals expression-level-dependent biases that differ from sample to sample across all RNA-seq datasets studied, and are not corrected by conventional normalization (TPM/FPKM)
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Has reproduction · 88
Constructing an APOBEC-related gene signature with predictive value in the overall survival and therapeutic sensitivity in lung adenocarcinoma.
PMID 37954334 · PMC10637964 · Heliyon · 2023 · 8 claims · 8 setups
APOBEC family genes are aberrantly expressed across cancers, with APOBEC3B the most consistently upregulated, and APOBEC3B/APOBEC3A are markedly altered in LUAD
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Has reproduction · 63
Community assessment of methods to deconvolve cellular composition from bulk gene expression.
PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups
Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.
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Has reproduction · 92
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 · 8 setups
MCF-7 cell lines and human breast cancer tissues share only minimal similarity in biological processes, though fundamental functions such as cell cycle are conserved
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Has reproduction · 84
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 6 claims · 7 setups
DeepProg, an ensemble of deep-learning and machine-learning models, robustly predicts patient survival subtypes from multi-omics data and explicitly models survival as the objective while predicting new patient risks
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Has reproduction · 65
Cancer-predicting transcriptomic and epigenetic signatures revealed for ulcerative colitis in patient-derived epithelial organoids.
PMID 29983891 · PMC6033374 · Oncotarget · 2018 · 7 claims · 6 setups
UC patient-derived organoids histologically phenocopy primary UC tissue, showing disorganized stratified epithelium, reduced mucin/goblet cells, and non-uniform proliferation compared to non-IBD organoids
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Has reproduction · 73
FRMD8 inhibits tumor metastasis in BRCA1-associated TNBC by negatively regulating tmTNF-α.
PMID 40619383 · PMC12229025 · Cellular & molecular biology letters · 2025 · 8 claims · 8 setups
Low FRMD8 expression in BRCA1-mutant breast cancer cells significantly enhances metastatic potential to various organs
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Has reproduction · 78
Identification of succinylation-related genes in bladder cancer: integration of single-cell and transcriptomic data.
PMID 42220482 · PMC13218921 · Frontiers in immunology · 2026 · 8 claims · 8 setups
KCTD16, CD3D and GSDMB are succinylation-related prognostic genes in BLCA
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Has reproduction · 84
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
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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Has reproduction · 87
Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.
PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 7 setups
Genetic variation–based demultiplexing tools can be effectively deployed on cancer scRNA-seq tissue using a pooled experimental design, achieving high recall at acceptable precision-recall tradeoffs in both high-CNV (HGSOC) and high-SNV (lung adenocarcinoma) cancers, even with extremely high doublet proportions.