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).

• 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

  170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions

  afb1 breast training candidate computational bulk weighted

• 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

• PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization.

  PMID 15608166 · PMC540074 · Nucleic acids research · 2005 · 7 claims · 4 setups

  Full-text index only

  PA-GOSUB significantly extends the coverage of GO molecular function and subcellular localization annotations for 10 model organism proteomes compared with existing databases (GOA, Swiss-Prot).

  sequences query swiss-prot naive-bayes blast feature

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

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 8 claims · 5 setups

  Has reproduction · 62

  A DNN model built on 34 top-ranked hub genes achieves the highest prediction accuracy (AUC 92.11%) for distinguishing primary from bone-metastasized tumors

  breast degs geo tcga microarray protein-protein machine

• 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) are associated with HCM by intersecting DEGs with MR-identified eQTLs

  left eqtl degs merged bulk two-sample functional

• 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 · 7 setups

  Has reproduction · 49

  S100A3 shows consistent discriminatory performance across the training cohort, an independent sleep deprivation cohort, and a chronic insomnia cohort

  blood degs bulk single-gene gene

• Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.

  PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups

  Has reproduction · 96

  Assembled the largest reference blood gene expression profiling (GEP) dataset for AML to date: 12,029 samples from 105 studies across three platforms.

  peripheral datasets hg-u133 disjoint bulk machine deep

• 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

  Has reproduction · 55

  352 DEGs (198 up-regulated, 154 down-regulated) were identified between RPL and control endometrial samples

  endometrial degs hub decidua microarray wgcna machine

• 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

• Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data.

  PMID 19704920 · PMC2688763 · Journal of biomedicine & biotechnology · 2009 · 8 claims · 3 setups

  Full-text index only

  Kernel-based methods (e.g., SVM) can capture nonlinear dose-volume interactions relevant to predicting radiation pneumonitis

  nsclc inoperable blood retrospective prospective 3-way

• Prediction of Antimicrobial Resistance in Gram-Negative Bacteria From Whole-Genome Sequencing Data.

  PMID 32528441 · PMC7262952 · Frontiers in microbiology · 2020 · 8 claims · 4 setups

  Has reproduction · 100

  WGS data enables prediction of antimicrobial resistance in Gram-negative bacteria using machine learning

  baumannii gram-negative in-house cchmc whole-genome xgboost antimicrobial

• Identification of TYR, TYRP1, DCT and LARP7 as related biomarkers and immune infiltration characteristics of vitiligo via comprehensive strategies.

  PMID 34107850 · PMC8806433 · Bioengineered · 2021 · 7 claims · 8 setups

  Has reproduction · 55

  131 robust DEGs (89 upregulated, 42 downregulated) were identified by RRA integration of three vitiligo datasets and are closely associated with melanogenesis and vitiligo development

  lesional merged robust verification gene robust weighted

• 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

  Has reproduction · 32

  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)

  tcga geo rna-seq methylation sequencing

• 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

• Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

  PMID 16980117 · PMC7159276 · Lancet (London, England) · 2006 · 8 claims · 5 setups

  Full-text index only

  An SVM classifier trained on serum proteomic profiles discriminated patients with active tuberculosis from controls with clinically overlapping conditions

  serum computational kda spin-column seldi-tof supervised peptide

• 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

• Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.

  PMID 18618001 · PMC2442223 · PLoS genetics · 2008 · 8 claims · 6 setups

  Full-text index only

  Zebrafish whole-adult-organism chemogenomics generates robust prediction models that discriminate P(H)AHs from ECs across independent experiments

  zebrafish computational seven consolidated whole-adult-organism supervised quantitative

• Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.

  PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups

  Full-text index only

  CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.

  missense same synthetic tp53 random support principal

• Identification of common genetic characteristics of rheumatoid arthritis and major depressive disorder by bioinformatics analysis and machine learning.

  PMID 37415981 · PMC10320004 · Frontiers in immunology · 2023 · 7 claims · 8 setups

  Has reproduction · 58

  EAF1, SDCBP and RNF19B are common genetic characteristics (hub genes) shared by RA and MDD

  pbmc intersected candidate wgcna differential kegg

• Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.

  PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 8 setups

  Has reproduction · 50

  A 186-gene signature predictive of nCRT response was derived from integrating six GEO transcriptomic datasets using machine learning.

  pre-treatment combined larc 186-gene differential machine molecular