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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BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments.
PMID 16845052 · PMC1538844 · Nucleic acids research · 2006 · 8 claims · 8 setups
Babelomics is presented as an updated, complete suite of web tools for functional analysis of genome-scale experiments with new and improved modules
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KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.
PMID 19094223 · PMC2646283 · Genome biology · 2008 · 8 claims · 8 setups
KEGG spider, using a global 'pathway-free' metabolic network framework, provides deeper insight into metabolism variations than existing enrichment-based methods.
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L2L: a simple tool for discovering the hidden significance in microarray expression data.
PMID 16168088 · PMC1242216 · Genome biology · 2005 · 8 claims · 4 setups
L2L systematically compares a user's differentially expressed gene list against a database of published differentially expressed gene lists to find statistically significant overlaps and generate hypotheses about shared mechanisms
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Has reproduction · 75
Why an integrated view of gene expression studies on hematopoiesis in mouse aging is better than the sum of their parts.
PMID 38627103 · PMC11586588 · FEBS letters · 2024 · 7 claims · 4 setups
Combining differentially expressed (DE) gene lists from multiple publications into a unified 'aging list' (AL) with citation counts, and deriving a shorter high-confidence 'aging signature' (AS, genes cited in >3 publications, ~200 genes), produces a more reliable and consistent picture of hematopoietic aging than any single study.
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Functional nsSNPs from carcinogenesis-related genes expressed in breast tissue: potential breast cancer risk alleles and their distribution across human populations.
PMID 16595073 · PMC3500178 · Human genomics · 2006 · 7 claims · 5 setups
A bioinformatics strategy cross-referencing carcinogenesis-related gene lists with breast-tissue expression data can identify candidate breast cancer risk nsSNPs.
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Has reproduction · 54
Gene-Expression Profiling Suggests Impaired Signaling via the Interferon Pathway in Cstb-/- Microglia.
PMID 27355630 · PMC4927094 · PloS one · 2016 · 8 claims · 8 setups
In Cstb-/- microglia, 184 genes were differentially expressed relative to control, of which 33 were identified by both microarray and RNA-seq.
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Has reproduction · 85
Integrated Analysis of Multiple Microarrays Based on Raw Data Identified Novel Gene Signatures in Recurrent Implantation Failure.
PMID 35197930 · PMC8859149 · Frontiers in endocrinology · 2022 · 6 claims · 7 setups
Robust Rank Aggregation (RRA) can integrate DEG lists from multiple independent RIF microarray datasets to identify robust DEGs.
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Has reproduction · 73
Identification of intrinsic genes across general hypertension, hypertension with left ventricular remodeling, and uncontrolled hypertension.
PMID 36277786 · PMC9582241 · Frontiers in cardiovascular medicine · 2022 · 7 claims · 8 setups
FBXW4 and 13 other genes are uniquely enriched in the general hypertension group
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Has reproduction · 59
Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.
PMID 41369820 · PMC12799884 · Discover oncology · 2025 · 7 claims · 8 setups
Eight gene modules linked to metastasis were identified via scored network analysis and validated through pathway databases.
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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 · 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
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.
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Applications for protein sequence-function evolution data: mRNA/protein expression analysis and coding SNP scoring tools.
PMID 16912992 · PMC1538848 · Nucleic acids research · 2006 · 7 claims · 8 setups
PANTHER HMMs built from family/subfamily multiple sequence alignments can classify novel protein sequences into functional groups based on statistically significant HMM match scores
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Predicting candidate genes for human deafness disorders: a bioinformatics approach.
PMID 16854223 · PMC1564145 · BMC genomics · 2006 · 8 claims · 4 setups
A bioinformatic approach combining expression databases and protein interaction data narrows ~2400 candidate genes across deafness loci to a manageable set of candidates.
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Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups
Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes
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Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome.
PMID 18986552 · PMC2625353 · BMC systems biology · 2008 · 8 claims · 6 setups
Integrated WGCNA (IWGCNA), which adds genetic marker-based causality testing to standard WGCNA, can identify a disease-related module and its causal drivers
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Identification and analysis of co-occurrence networks with NetCutter.
PMID 18781200 · PMC2526157 · PloS one · 2008 · 8 claims · 4 setups
Random sampling from a complete permutation set of the bipartite graph permits co-occurrence analysis with optimal stringency, and the edge-swapping (ES) model closely approximates this and is the preferred null-model among six tested.
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Filling gaps in PPAR-alpha signaling through comparative nutrigenomics analysis.
PMID 20003344 · PMC2801700 · BMC genomics · 2009 · 7 claims · 8 setups
Meta-analysis of 16 microarray datasets across human, mouse, rat and yeast identifies 164 genes (MDEGs) consistently differentially expressed in response to high fat diet or PPAR signaling perturbation.
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Multi-organ expression profiling uncovers a gene module in coronary artery disease involving transendothelial migration of leukocytes and LIM domain binding 2: the Stockholm Atherosclerosis Gene Expression (STAGE) study.
PMID 19997623 · PMC2780352 · PLoS genetics · 2009 · 8 claims · 6 setups
Functionally associated gene modules, not individual genes, underlie CAD development and can be identified via multi-organ expression clustering
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Neonatal salivary analysis reveals global developmental gene expression changes in the premature infant.
PMID 19959617 · PMC2853178 · Clinical chemistry · 2010 · 7 claims · 6 setups
Salivary genomic microarray analysis reveals global developmental gene expression changes in premature infants over postnatal age