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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Inferring combinatorial regulation of transcription in silico.
PMID 15647509 · PMC546154 · Nucleic acids research · 2005 · 8 claims · 5 setups
Combining Cluster-Buster (TFBS cluster prediction) with GOSSIP (rigorous GO enrichment statistics with multiple-testing/FDR correction) predicts biological functions controlled by combinatorial transcription factor action, without prior knowledge of factor targets
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The Princeton Protein Orthology Database (P-POD): a comparative genomics analysis tool for biologists.
PMID 17712414 · PMC1942082 · PloS one · 2007 · 8 claims · 5 setups
P-POD is the first comparative genomics database to combine results from multiple computational ortholog/homolog prediction methods with manually curated literature-derived experimental evidence of functional conservation.
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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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Has reproduction · 83
Functional module detection through integration of single-cell RNA sequencing data with protein-protein interaction networks.
PMID 33138772 · PMC7607865 · BMC genomics · 2020 · 8 claims · 6 setups
scPPIN integrates scRNA-seq-derived p-values with PPINs to detect maximum-weight connected subgraphs (active/functional modules) via an exact Steiner-tree approach
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Has reproduction · 94
Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments.
PMID 36088548 · PMC9487593 · Briefings in bioinformatics · 2022 · 8 claims · 6 setups
Well-established, hierarchically organized pathway annotation systems (e.g. GO, Reactome, KEGG) yield the best overall enrichment performance despite covering much of the human genome only in general terms.
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Independent component analysis reveals new and biologically significant structures in micro array data.
PMID 16762055 · PMC1557674 · BMC bioinformatics · 2006 · 7 claims · 8 setups
ICA applied to three microarray datasets reveals many biologically significant components, including low-ranking ones not obvious by rank alone
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Has reproduction · 51
SGCP: a spectral self-learning method for clustering genes in co-expression networks.
PMID 38956463 · PMC11221046 · BMC bioinformatics · 2024 · 7 claims · 4 setups
SGCP, a spectral self-learning method, yields gene co-expression modules with higher GO enrichment than WGCNA, CoExpNets, and CEMiTool across 12 real gene expression datasets.
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Has reproduction · 93
Single-nucleus mRNA-sequencing reveals dynamics of lipogenic and thermogenic adipocyte populations in murine brown adipose tissue in response to cold exposure.
PMID 40945691 · PMC12506565 · Molecular metabolism · 2025 · 8 claims · 8 setups
snRNA-seq of murine BAT identifies seven distinct brown adipocyte subtypes with distinct metabolic profiles, part of a 21-cell-type atlas.
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Benchmarking ortholog identification methods using functional genomics data.
PMID 16613613 · PMC1557999 · Genome biology · 2006 · 8 claims · 7 setups
InParanoid is the best overall ortholog identification method for identifying functionally equivalent proteins when sensitivity and selectivity are combined into an overall score.
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Automatic discovery of cross-family sequence features associated with protein function.
PMID 16409628 · PMC1395344 · BMC bioinformatics · 2006 · 8 claims · 6 setups
A self-supervised data mining approach can find relationships between sequence features and functional annotations without preconceived functional categories.
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The role of positive selection in determining the molecular cause of species differences in disease.
PMID 18837980 · PMC2576240 · BMC evolutionary biology · 2008 · 8 claims · 6 setups
Genes predicted to be under positive selection during human evolution are implicated in diseases (epithelial cancers, schizophrenia, autoimmune diseases, Alzheimer's disease) that differ in prevalence and symptomatology between humans and other mammals