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).

• Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.

  PMID 19801557 · PMC2780952 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2009 · 6 claims · 3 setups

  Full-text index only

  An SVM trained on 69 binary features of known PID genes can accurately classify PID vs non-PID genes and predict novel candidate PID genes

  genome training svm support leave-one-out sensitivity

• 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 · 7 claims · 7 setups

  Has reproduction · 71

  AML patients can be categorized into two distinct PANRG-based clusters with differing prognosis and immune characteristics

  aml leukemia bulk consensus immune

• 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

  Has reproduction · 63

  Clustering of 31 CAFs genes across 868 HNSCC samples identifies two distinct molecular patterns (C1, C2) with different survival outcomes

  hnscc combined gse164690 tcga-hnsc ssgsea unsupervised immune

• 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

  Has reproduction · 69

  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

  melanoma tcga-skcm prjeb23709 microarray wgcna differential consensus

• 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

  Has reproduction · 85

  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.

  left european merged degs bulk two-sample machine

• Machine learning algorithm predicts fibrosis-related blood diagnosis markers of intervertebral disc degeneration.

  PMID 37915003 · PMC10619283 · BMC medical genomics · 2023 · 7 claims · 7 setups

  Has reproduction · 68

  CEP120 and SPDL1 are fibrosis-related diagnostic genes for IDD, identified via a random forest model from 29 differentially expressed fibrosis-related genes

  blood gse150408 prediction pbmcs bulk machine roc

• 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

  Has reproduction · 83

  Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs

  afb1 breast training candidate computational bulk weighted

• Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1.

  PMID 37583471 · PMC10423927 · Neurobiology of stress · 2023 · 7 claims · 5 setups

  Has reproduction · 66

  Differentially expressed genes in MDD patients are enriched in immune response, inflammatory response, neurodegeneration, and cerebellar atrophy pathways.

  blood transcriptomic postmortem saliva gsea machine differential

• 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

  Has reproduction · 51

  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

  bladder tcga bulk univariate integrative

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

  Full-text index only

  Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.

  ensembl training same hgmd comparative machine tenfold

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

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 7 claims · 5 setups

  Has reproduction · 62

  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.

  breast degs geo tcga gene protein-protein machine

• miRNAMap: genomic maps of microRNA genes and their target genes in mammalian genomes.

  PMID 16381831 · PMC1347497 · Nucleic acids research · 2006 · 6 claims · 6 setups

  Full-text index only

  miRNAMap integrates known miRNA genes from miRBase, literature-curated validated targets, and computationally predicted miRNA genes and targets for human, mouse, rat and dog.

  conserved putative mirna-target normal comparative machine mirna

• Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.

  PMID 18923431 · PMC2692715 · Genes and immunity · 2009 · 7 claims · 6 setups

  Full-text index only

  A two-stage strategy (Random Forest filtering followed by decision tree modeling) can integrate categorical genetic and continuous proteomic data to identify biomarkers of AE risk

  ebv-transformed serum combined rf-filtered snp serum random

• Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.

  PMID 34575658 · PMC8472680 · Journal of personalized medicine · 2021 · 6 claims · 4 setups

  Has reproduction · 86

  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.

  known tnbc unique unknown gene machine term

• Specific signature biomarkers highlight the potential mechanisms of circulating neutrophils in aneurysmal subarachnoid hemorrhage.

  PMID 36438795 · PMC9685413 · Frontiers in pharmacology · 2022 · 7 claims · 8 setups

  Has reproduction · 80

  Six genes (CST7, HSP90AB1, PADI4, PLBD1, RAB32, SLAMF6) are signature diagnostic biomarkers for aSAH identified by LASSO and SVM-RFE.

  peripheral overlapping asah drug-treatment microarray wgcna ppi

• 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

  Has reproduction · 71

  Potential cardiac, hepatic, and renal impairments in COVID-19 are associated with ACE2, inflammatory cytokine storms, and mitochondrial pathways.

  nasopharyngeal heart leukocytes blood bulk pathway machine

• 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

  Has reproduction · 100

  RBPs beyond Drosha/DGCR8/Dicer are involved in regulating miRNA biogenesis and explain its spatio-temporal nature

  tissues computational rbps clip-seq rna-seq srna-seq

• 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

  Has reproduction · 40

  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

  bladder skin bulk integrative immune

• 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

  Has reproduction · 59

  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

  pancreatic rna-seq liver tumor bulk machine multi-label

• 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

  Has reproduction · 84

  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

  tcga-brca triple-negative ffpe bulk univariate kaplan-meier