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 · 92
A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection.
PMID 36609152 · PMC9850185 · STAR protocols · 2023 · 5 claims · 5 setups
The protocol identifies genes that are both statistically associated with a phenotype and functionally interconnected in a biological network
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Has reproduction
Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.
PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups
The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells
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Detection of venous thromboembolism by proteomic serum biomarkers.
PMID 17579716 · PMC1891085 · PloS one · 2007 · 5 claims · 8 setups
A neural network-based classifier built from direct MALDI-TOF MS serum protein expression profiles can diagnose VTE with sensitivity/specificity that exceeds D-dimer assays
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Has reproduction · 77
Electroacupuncture reshapes the microbial co-occurrence networks related to the behavioral and psychological symptoms of dementia in Alzheimer's disease.
PMID 41676443 · PMC12806058 · iMetaOmics · 2025 · 6 claims · 7 setups
Electroacupuncture reshapes microbial co-occurrence network topology and drives keystone species in AD-related BPSD, with R. gnavus emerging as a likely keystone species post-intervention.
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The use of edge-betweenness clustering to investigate biological function in protein interaction networks.
PMID 15740614 · PMC555937 · BMC bioinformatics · 2005 · 8 claims · 7 setups
Edge-Betweenness clustering separates protein interaction graphs into subgraphs whose GO term distributions show significant correlations, revealing biologically meaningful functional modules.
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Adaptations to climate in candidate genes for common metabolic disorders.
PMID 18282109 · PMC2242814 · PLoS genetics · 2008 · 8 claims · 7 setups
A network-based bioinformatics approach (Molecular Triangulation) was used to select 82 candidate genes belonging to the core subnetwork of metabolic syndrome phenotypes.
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Discovering cancer genes by integrating network and functional properties.
PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups
Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes
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Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies.
PMID 19073697 · PMC2632920 · Nucleic acids research · 2009 · 8 claims · 5 setups
Combining high protein-interaction network scores with significant PID-related GO terms identifies novel PID candidate genes
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Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.
PMID 19779549 · PMC2739292 · PLoS computational biology · 2009 · 8 claims · 8 setups
Human disease genes are much closer to aging genes in the PPI network than expected by chance
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Has reproduction · 89
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important Features.
PMID 37509188 · PMC10377046 · Biomolecules · 2023 · 8 claims · 3 setups
Graph Random Forest (GRF) embeds graph/network information directly into the decision-tree building process by splitting on features in the k-hop neighborhood of a data-driven head-splitting node.
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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 · 80
Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder.
PMID 32825264 · PMC7563725 · Biomolecules · 2020 · 6 claims · 7 setups
Combining WGCNA-derived hub genes with a VAE-derived 10-dimensional representation as features for an SVM classifier achieves high accuracy (0.9692) and AUC (0.9981) for colorectal cancer prediction.
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Has reproduction · 67
Reverse Engineering of the Pediatric Sepsis Regulatory Network and Identification of Master Regulators.
PMID 34680414 · PMC8533457 · Biomedicines · 2021 · 7 claims · 8 setups
A set of 15 TFs was identified as sepsis-specific master regulators of pediatric sepsis, dividing into two non-overlapping clusters.
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Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups
A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.
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Human synthetic lethal inference as potential anti-cancer target gene detection.
PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups
Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design
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Assessing individual differences in genome-wide gene expression in human whole blood: reliability over four hours and stability over 10 months.
PMID 19653838 · PMC3819565 · Twin research and human genetics : the official journal of the International Society for Twin Studies · 2009 · 8 claims · 5 setups
A subset of probesets (3,414) shows 4-hour test-retest reliability exceeding r=0.70 for detecting individual differences in gene expression.
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Has reproduction · 79
TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining.
PMID 33705981 · PMC9403021 · Genomics, proteomics & bioinformatics · 2021 · 8 claims · 6 setups
TSUNAMI is a freely accessible web-based tool suite that mines gene co-expression network (GCN) modules from public (GEO, TCGA) or user-uploaded numerical omics data and performs downstream gene set enrichment analysis.
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Has reproduction · 71
Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.
PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups
Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.
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Mining expressed sequence tags identifies cancer markers of clinical interest.
PMID 17078886 · PMC1635568 · BMC bioinformatics · 2006 · 8 claims · 6 setups
An EST-mining approach (Fisher Exact Test on tumor vs. non-tumor library hit counts) identifies differentially expressed transcripts with an estimated false discovery rate below 22% when human and mouse screens are combined.
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Application of machine learning in SNP discovery.
PMID 16398931 · PMC1955739 · BMC bioinformatics · 2006 · 8 claims · 6 setups
PolyBayes produces high false-positive SNP predictions even with stringent parameters