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 · 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
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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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 · 84
An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis.
PMID 36352408 · PMC9648005 · BMC biology · 2022 · 7 claims · 5 setups
A signal transduction/gene regulatory network model of the articular chondrocyte was built combining knowledge-based curation and data-driven (machine learning) network inference
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Has reproduction · 85
A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells.
PMID 34316714 · PMC8271219 · NAR cancer · 2021 · 7 claims · 8 setups
EMT and tamoxifen-resistance (TamR) regulatory axes can drive one another, enabling non-genetic heterogeneity via six co-existing phenotypes (ES, ER, HS, HR, MS, MR)
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Has reproduction · 100
Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment.
PMID 37471455 · PMC10393163 · PLoS computational biology · 2023 · 8 claims · 8 setups
A network-based meta-analysis across studies identifies a common 45-gene signature specific to active TB disease that accounts for cohort/population heterogeneity
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Has reproduction · 44
An OMICs-based meta-analysis to support infection state stratification.
PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups
Multi-class machine learning models built from cross-platform microarray meta-analysis can distinguish bacterial, viral and no-infection states with high accuracy (best model: 93% bacterial, 89% viral correct).
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A simple and robust method for connecting small-molecule drugs using gene-expression signatures.
PMID 18518950 · PMC2464610 · BMC bioinformatics · 2008 · 8 claims · 4 setups
A new method for building reference gene-expression profiles and scoring/testing connections improves on the original Connectivity Map by enabling statistical significance testing of connections.
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Translating genome sequences into biological understanding.
PMID 12801409 · PMC193614 · Genome biology · 2003 · 8 claims · 7 setups
Gene-trap insertional mutagenesis in mouse ES cells (BayGenomics) generates a large resource of cell lines and knockout mice for studying gene expression patterns and function.
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Has reproduction · 96
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics.
PMID 31918046 · PMC6992905 · iScience · 2020 · 8 claims · 8 setups
Data-driven, high-dimensional ML approaches that learn multivariate signatures directly from genome-wide transcriptomic data (no prior gene selection) yield accurate and robust AML classifiers.
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Has reproduction · 78
Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.
PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups
A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response
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Has reproduction · 44
Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.
PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups
DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection
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Has reproduction · 53
Blood RNA signature RISK4LEP predicts leprosy years before clinical onset.
PMID 34090257 · PMC8182229 · EBioMedicine · 2021 · 7 claims · 5 setups
A 4-gene blood RNA signature (RISK4LEP: MT-ND2, REX1BD, TPGS1, UBC) predicts leprosy development 4–61 months before clinical diagnosis
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Predicting preferential DNA vector insertion sites: implications for functional genomics and gene therapy.
PMID 18047689 · PMC2106846 · Genome biology · 2007 · 8 claims · 6 setups
Vector insertion site preferences differ substantially between viral vectors and transposons, affecting both oncogenic risk in gene therapy and utility for functional genomics
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Has reproduction · 87
CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.
PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 6 setups
CoINcIDE is a methodological framework that discovers replicable patient subtypes (meta-clusters) across multiple datasets by finding consensus across dataset-specific clusterings, requiring no between-dataset transformations.
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Has reproduction · 72
Prediction of prognostic signatures in triple-negative breast cancer based on the differential expression analysis via NanoString nCounter immune panel.
PMID 33138797 · PMC7607642 · BMC cancer · 2020 · 8 claims · 7 setups
edgeR identifies 9 DEGs associated with pCR and 13 DEGs associated with relapse from 579 immune genes in a small TNBC sample set (n=55)
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Has reproduction · 50
Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature.
PMID 37076665 · PMC10115855 · NPJ precision oncology · 2023 · 8 claims · 8 setups
A convergent-phenotype-based seed gene/co-expression method can extract consensus gene expression signatures predictive of response to chemotherapeutic drugs in the GDSC database
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Has reproduction · 83
A temporal classifier predicts histopathology state and parses acute-chronic phasing in inflammatory bowel disease patients.
PMID 36694043 · PMC9873918 · Communications biology · 2023 · 8 claims · 7 setups
The DSS phenotype-by-time interaction defines parsimonious temporal (dynamic) expression and splicing signatures of acute and chronic colitis distinct from time-specific differential expression.
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Has reproduction · 64
Comprehensive bioinformatics analysis and experimental verification identify mitochondrial gene Dgat2 as a novel therapeutic biomarker for myocardial ischemia-reperfusion.
PMID 40510478 · PMC12159077 · Frontiers in endocrinology · 2025 · 8 claims · 8 setups
Dgat2 is a hub mitochondria-related differentially expressed gene (MitoDEG) that can serve as a novel biomarker and therapeutic target in MI/RI
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Has reproduction · 85
Digital sorting of complex tissues for cell type-specific gene expression profiles.
PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups
The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.