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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Prediction of catalytic residues using Support Vector Machine with selected protein sequence and structural properties.
PMID 16790052 · PMC1534064 · BMC bioinformatics · 2006 · 8 claims · 7 setups
The Sequential Minimal Optimization (SMO) SVM algorithm was the best-performing classifier among 26 WEKA classifiers for predicting catalytic residues
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Has reproduction · 83
Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.
PMID 39856156 · PMC11760357 · Scientific reports · 2025 · 8 claims · 8 setups
Ten multiomics clustering algorithms identify two distinct lactylation cancer subtypes (CS1 and CS2) in LUAD
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Has reproduction · 50
Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.
PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 5 setups
A 186-gene signature derived from six GEO transcriptomic datasets predicts nCRT response in LARC with AUC 0.80 in cross-validation
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Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.
PMID 18618001 · PMC2442223 · PLoS genetics · 2008 · 8 claims · 6 setups
Zebrafish whole-adult-organism chemogenomics generates robust prediction models that discriminate P(H)AHs from ECs across independent experiments
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Has reproduction · 86
Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.
PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups
A training gene set of 719 unique upregulated DEGs (subtype-specific) can be used to build ML models that classify TNBC into BLIA, BLIS, MES, and LAR subtypes.
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Has reproduction · 62
Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.
PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups
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.
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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 · 7 claims · 7 setups
CEP120 and SPDL1 are fibrosis-related diagnostic genes for IDD, identified via a random forest model from 29 differentially expressed fibrosis-related genes
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Has reproduction · 69
Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma.
PMID 39355255 · PMC11442245 · Frontiers in immunology · 2024 · 8 claims · 8 setups
66 consensus immunotherapy prognostic genes (CITPGs) were identified from the intersection of WGCNA modules, immunotherapy responder-vs-non-responder DEGs, and tumor-vs-normal DEGs
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Machine-learning approaches for classifying haplogroup from Y chromosome STR data.
PMID 18551166 · PMC2396484 · PLoS computational biology · 2008 · 8 claims · 5 setups
Y-STR allelic variability is partitioned more by differences among haplogroups than by differences among populations, suggesting Y-STRs carry haplogroup information
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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 · 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 · 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) were identified for HCM by intersecting DEGs with MR-derived HCM-associated eQTLs.
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Has reproduction · 77
SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.
PMID 38539106 · PMC10967213 · BMC bioinformatics · 2024 · 7 claims · 6 setups
SurvConvMixer reformats KEGG Pathways-in-Cancer gene expression values into pathway-level 2D gene expression images and applies a ConvMixer-based model for overall survival prediction
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Has reproduction · 83
Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.
PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups
Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs
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Has reproduction · 49
Integration of Transcriptomics With Interpretable Artificial Intelligence for Identifying Molecular Signatures of Physiological Stress in Sleep Deprivation.
PMID 42216239 · PMC13240488 · Journal of cellular and molecular medicine · 2026 · 8 claims · 8 setups
S100A3 is a robust candidate biomarker showing consistent discriminatory performance across the acute sleep deprivation training cohort, an independent sleep deprivation cohort, and a chronic insomnia cohort.
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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 · 90
A Decentralized Kidney Transplant Biopsy Classifier for Transplant Rejection Developed Using Genes of the Banff-Human Organ Transplant Panel.
PMID 35619722 · PMC9128066 · Frontiers in immunology · 2022 · 6 claims · 6 setups
A random forest model trained solely on B-HOT panel genes (B-HOT Model) accurately classifies kidney transplant biopsies as NR, ABMR, or TCMR.
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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 · 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