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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Mutation of ERBB2 provides a novel alternative mechanism for the ubiquitous activation of RAS-MAPK in ovarian serous low malignant potential tumors.
PMID 19010816 · PMC6953412 · Molecular cancer research : MCR · 2008 · 8 claims · 8 setups
Activating RAS-MAPK pathway mutations are present in >70% of serous LMP tumors versus ~12.5% of serous ovarian carcinomas
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A parsimony approach to biological pathway reconstruction/inference for genomes and metagenomes.
PMID 19680427 · PMC2714467 · PLoS computational biology · 2009 · 8 claims · 6 setups
The naïve mapping approach (present if ≥1 associated function is found) leads to an inflated estimate of biological pathways and overestimates functional diversity of a sample.
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Genome annotation errors in pathway databases due to semantic ambiguity in partial EC numbers.
PMID 16034025 · PMC1179732 · Nucleic acids research · 2005 · 7 claims · 4 setups
Partial EC numbers are semantically ambiguous, and databases that assign a gene to all reactions sharing the same partial EC number make a faulty inference, causing systematic misannotation.
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Has reproduction · 30
Minimal metabolic pathway structure is consistent with associated biomolecular interactions.
PMID 24987116 · PMC4299494 · Molecular systems biology · 2014 · 8 claims · 8 setups
MinSpan, a mixed-integer linear optimization algorithm, computes the shortest, linearly independent pathways (sparsest basis of the null space of the stoichiometric matrix S) for genome-scale metabolic networks, which convex approaches (extreme pathways, elementary flux modes) cannot do at genome scale.
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Identifying drug effects via pathway alterations using an integer linear programming optimization formulation on phosphoproteomic data.
PMID 19997482 · PMC2776985 · PLoS computational biology · 2009 · 7 claims · 4 setups
An ILP formulation of the Boolean pathway optimization problem fits phosphoproteomic data faster and more efficiently than the previously used genetic algorithm (GA) approach.
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Involvement of potential pathways in malignant transformation from oral leukoplakia to oral squamous cell carcinoma revealed by proteomic analysis.
PMID 19691830 · PMC2746235 · BMC genomics · 2009 · 7 claims · 6 setups
85 proteins are differentially and consistently expressed (>2-fold change, P<0.05) between paired OLK and OSCC tissues, including 52 up-regulated and 33 down-regulated proteins
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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 · 85
An integrated single-cell and spatial proteotranscriptomics atlas of fibroblast-driven immunoregulation within the human adult oral cavity.
PMID 42147490 · PMC13179517 · Cell press blue · 2026 · 8 claims · 8 setups
Fibroblasts act as central regulators of structural immunity in the human oral cavity, forming peri-epithelial hubs enriched in effector cytokines
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Functional features of gene expression profiles differentiating gastrointestinal stromal tumours according to KIT mutations and expression.
PMID 19943934 · PMC2794290 · BMC cancer · 2009 · 8 claims · 5 setups
Hundreds of genes differentiate GISTs according to KIT versus PDGFRA mutation and expression status, despite no discriminative profile for clinical/pathological parameters.
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Fibroblasts from patients with Diamond-Blackfan anaemia show abnormal expression of genes involved in protein synthesis, amino acid metabolism and cancer.
PMID 19765279 · PMC2760583 · BMC genomics · 2009 · 8 claims · 5 setups
Global microarray profiling reveals 421 genes differentially expressed in DBA patient fibroblasts compared to healthy controls
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Recent additions and improvements to the Onto-Tools.
PMID 15980579 · PMC1160233 · Nucleic acids research · 2005 · 7 claims · 3 setups
The Onto-Tools back-end database was redesigned around the Entrez Gene data model after NCBI phased out LocusLink in February 2005.
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Has reproduction · 84
COXPRESdb v8: an animal gene coexpression database navigating from a global view to detailed investigations.
PMID 36350658 · PMC9825429 · Nucleic acids research · 2023 · 8 claims · 6 setups
COXPRESdb version 8 adds CoexMap (UMAP-based genome-scale coexpression visualization), KEGG pathway enrichment summaries, and CoexPub (literature-linking tool) as new analysis features.
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The estrogen hypothesis of schizophrenia implicates glucose metabolism: association study in three independent samples.
PMID 18460190 · PMC2391158 · BMC medical genetics · 2008 · 8 claims · 4 setups
A novel candidate-gene selection strategy combining unbiased schizophrenia expression/linkage data with the estrogen hypothesis as a biological filter identifies glycolysis as a candidate pathway network for schizophrenia
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Indirect genomic effects on survival from gene expression data.
PMID 18358079 · PMC2397510 · Genome biology · 2008 · 7 claims · 6 setups
A novel methodology (dynamic path analysis combined with additive hazard survival regression) can detect and quantify indirect effects of gene expression on survival mediated through transcription factor target genes.
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A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy.
PMID 18302764 · PMC2276496 · BMC genomics · 2008 · 8 claims · 6 setups
A novel non-parametric meta-analysis approach for combining independent microarray datasets is presented, requiring no distributional assumptions and being logically intuitive.
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Genomic and mutational profiling to assess clonal relationships between multiple non-small cell lung cancers.
PMID 19671847 · PMC2892178 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2009 · 8 claims · 5 setups
Genomic profiling by aCGH can distinguish clonal tumors from independent primaries with high confidence by identifying matching versus non-matching regions of allelic gain/loss.
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Has reproduction · 51
Cell type-specific eQTL analysis of COVID-19 based on single-cell transcriptomic data.
PMID 41064594 · PMC12501775 · NAR genomics and bioinformatics · 2025 · 8 claims · 8 setups
Single-cell eQTL analysis across eight immune cell types identified 2593 genes whose expression is significantly associated with common genetic polymorphisms, with most genes showing cell type-specific effects
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Response rate of fibrosarcoma cells to cytotoxic drugs on the expression level correlates to the therapeutic response rate of fibrosarcomas and is mediated by regulation of apoptotic pathways.
PMID 16001973 · PMC1183194 · BMC cancer · 2005 · 6 claims · 5 setups
The number of significantly differentially expressed probesets induced by each drug correlates with the known clinical therapeutic response rate of that drug in fibrosarcoma
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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 · 67
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.
PMID 37847658 · PMC10628388 · Bioinformatics (Oxford, England) · 2023 · 7 claims · 3 setups
PSPred-ALE, a deep learning predictor using a self-adaptive learning embedding algorithm, automatically extracts contextual sequence features and identifies SARS-CoV-2 phosphorylation sites without feature engineering.