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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Glutamine-mediated crosstalk between M2 macrophages and tumor cells via the SLC38A5/FOXM1/CNIH4 axis promotes oral squamous cell carcinoma progression.
PMID 41715179 · PMC13020291 · Journal of translational medicine · 2026 · 8 claims · 8 setups
Glutamine secretion from M2 macrophages to tumor cells via SLC38A5 is the core mCCC pathway upregulated in metastatic OSCC lesions compared to primary lesions.
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Has reproduction · 64
Spatial-reprogramming derived GPNMB(+) macrophages interact with COL6A3(+) fibroblasts to enhance vascular fibrosis in glioblastoma.
PMID 41174767 · PMC12577258 · Genome medicine · 2025 · 8 claims · 8 setups
COL6A3+ TAFs are a distinct matrix-fibroblast subset significantly enriched in non-responders to neoadjuvant antiangiogenic+ICB combination therapy
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Has reproduction · 100
miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles.
PMID 34637468 · PMC8509996 · PloS one · 2021 · 7 claims · 6 setups
RBPs beyond Drosha/DGCR8/Dicer are involved in regulating miRNA biogenesis and explain its spatio-temporal nature
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Has reproduction · 81
Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality.
PMID 32681306 · PMC7599172 · Current genetics · 2020 · 7 claims · 7 setups
A machine-learning (Random Forest) approach trained on transposon insertion features can predict gene essentiality genome-wide in yeast species
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Has reproduction · 42
Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas.
PMID 39152432 · PMC11328457 · Journal of translational medicine · 2024 · 7 claims · 8 setups
PAAD tumors can be consensus-clustered into immunologically hot and cold subtypes based on CIBERSORT-derived immune cell fractions, with significantly different survival outcomes.
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Has reproduction · 71
Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.
PMID 38322112 · PMC10846924 · International journal of clinical practice · 2024 · 8 claims · 8 setups
AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)
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Has reproduction · 71
Transcriptome and machine learning analysis of the impact of COVID-19 on mitochondria and multiorgan damage.
PMID 38295140 · PMC10830027 · PloS one · 2024 · 6 claims · 7 setups
Potential cardiac, hepatic, and renal impairments in COVID-19 are associated with ACE2, inflammatory cytokine storms, and mitochondrial pathways.
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Has reproduction · 59
Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.
PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups
Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort
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Has reproduction · 68
Machine learning algorithm predicts fibrosis-related blood diagnosis markers of intervertebral disc degeneration.
PMID 37915003 · PMC10619283 · BMC medical genomics · 2023 · 8 claims · 7 setups
CEP120 and SPDL1 were identified as diagnostic genes for IDD using a random forest model
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AGPAT3 reshapes tumor cell vulnerability to IFNγ-mediated ferroptosis and enhances immunotherapy efficacy through lipid remodeling.
PMID 41807033 · PMC12983827 · Journal for immunotherapy of cancer · 2026 · 8 claims · 8 setups
A ferroptosis-driver gene signature (FD.sig) and machine learning model (FD.model) can predict ICI response
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Has reproduction · 85
Integration of multi-omics and machine learning strategies identifies immune related candidate biomarkers in inflammation-associated hypertrophic cardiomyopathy.
PMID 41080564 · PMC12510942 · Frontiers in immunology · 2025 · 8 claims · 8 setups
Seven key immune-related genes (RNF165, SNCA, SRGN, MARCO, STEAP4, SIGLEC9, TKT) are associated with HCM by intersecting DEGs with MR-identified eQTLs
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Has reproduction · 32
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
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)
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Single-cell sequencing analysis and machine learning model reveal aberrant TIM-3 expression in microglia during Alzheimer's disease progression.
PMID 41580850 · PMC12911240 · Journal of translational medicine · 2026 · 7 claims · 8 setups
A TIM-3+ microglial subset drives AD pathogenesis through a dual mechanism: sustained neuroinflammation via TNF-α/NF-κB and IL-6/JAK/STAT3 signaling, and impaired amyloid-β clearance linked to PI3K-AKT and FcγR pathways
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The functional landscape of alternative splicing in hematopoietic lineage commitment.
PMID 41593078 · PMC12946277 · Nature communications · 2026 · 7 claims · 8 setups
FAScore, a Random Forest model integrating 19 dynamic, structural, and conservation features, predicts functional exon-skipping AS events with high accuracy in a species- and lineage-specific manner.
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Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.
PMID 41758825 · PMC12948085 · PloS one · 2026 · 8 claims · 6 setups
AI-based predictive models built on unannotated scRNA-seq data (cell-by-gene expression matrices) can classify melanoma patients as ICI responders vs. non-responders
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Predicting FOX gene candidates for oxic nitrogen fixation using multi-omic machine learning and comparative bioinformatics.
PMID 41764348 · PMC13056922 · Scientific reports · 2026 · 8 claims · 6 setups
Random Forest, XGBoost, and logistic regression classifiers can meaningfully differentiate literature-validated FOX genes from conserved non-essential genes, with Random Forest achieving the best ROC-AUC (~0.80)
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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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Leveraging the germ layer development patterns to predict prognosis and identify MEST as a novel therapeutic target in glioma.
PMID 41501725 · PMC12870398 · Cancer cell international · 2026 · 7 claims · 8 setups
MEST is a key oncogenic GLD-related gene and a novel therapeutic target in glioma, identified via a machine learning feature selection framework
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Has reproduction · 63
Clustering and machine learning-based integration identify cancer associated fibroblasts genes' signature in head and neck squamous cell carcinoma.
PMID 37065499 · PMC10098459 · Frontiers in genetics · 2023 · 8 claims · 8 setups
Clustering of 31 CAFs genes across 868 HNSCC samples identifies two distinct molecular patterns (C1, C2) with different survival outcomes
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Has reproduction · 53
Blood RNA signature RISK4LEP predicts leprosy years before clinical onset.
PMID 34090257 · PMC8182229 · EBioMedicine · 2021 · 8 claims · 6 setups
1,613 genes were differentially expressed in leprosy progressors before diagnosis (t=1) compared to household contacts.