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).

• Computational verification of protein-protein interactions by orthologous co-expression.

  PMID 15740634 · PMC555590 · BMC bioinformatics · 2005 · 7 claims · 8 setups

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  Co-expression of orthologous protein pairs across multiple species can verify/predict S. cerevisiae PPIs with better performance than S. cerevisiae co-expression alone.

  cerevisiae orthologs cdc28 yeast co-expression ortholog orthologous

• Biocomputing enters its adolescence.

  PMID 15960815 · PMC1175967 · Genome biology · 2005 · 8 claims · 8 setups

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  A 'match augmentation' algorithm efficiently matches structural motifs by prioritizing functionally significant residues, enabling function prediction between evolutionarily unrelated proteins

  bank antibody-antigen yeast genome protein-protein empirical integrative

• Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome.

  PMID 15892868 · PMC1175952 · Genome biology · 2005 · 8 claims · 6 setups

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  Two quantitative benchmarks (functional-annotation-based and physical-interaction-based log likelihood ratio scores) can measure relative accuracy of human PPI datasets

  medline annotated interactions consolidated conditional co-citation bayesian

• Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.

  PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups

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  Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.

  yeast drosophila networks dppi reanalysis computer repeated

• Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.

  PMID 19779549 · PMC2739292 · PLoS computational biology · 2009 · 8 claims · 8 setups

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  Human disease genes are much closer to aging genes in the PPI network than expected by chance

  protein-protein randomized dan aging network degree-conserved closeness

• Screening large-scale association study data: exploiting interactions using random forests.

  PMID 15588316 · PMC545646 · BMC genetics · 2004 · 7 claims · 3 setups

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  Random forest importance measure significantly outperforms the Fisher Exact test as a screening tool when risk SNPs interact.

  simulated same simulation random fisher

• The use of edge-betweenness clustering to investigate biological function in protein interaction networks.

  PMID 15740614 · PMC555937 · BMC bioinformatics · 2005 · 8 claims · 7 setups

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  Edge-Betweenness clustering separates protein interaction graphs into subgraphs whose GO term distributions show significant correlations, revealing biologically meaningful functional modules.

  interaction yeast edge-betweenness chi-squared robustness

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  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.

  hepatocellular breast sporadic geo gene differential interaction

• Inferring a spatial code of cell-cell interactions across a whole animal body.

  PMID 36395331 · PMC9714814 · PLoS computational biology · 2022 · 8 claims · 6 setups

  Has reproduction · 90

  cell2cell computes cell-cell interaction (CCI) potential using a novel modified Bray-Curtis score based on complementary coexpression of ligand-receptor pairs between cells

  elegans computational single-cell random genetic

• Application of two machine learning algorithms to genetic association studies in the presence of covariates.

  PMID 19014573 · PMC2620353 · BMC genetics · 2008 · 8 claims · 3 setups

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  The relative performance of RF and MARS for detecting genotype-trait associations depends on both the strategy used to handle covariates and the true underlying model of association (e.g., confounding vs. mediation vs. interaction).

  simulated cohort simulation applied

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval

• Essential Genes of Vibrio anguillarum and Other Vibrio spp. Guide the Development of New Drugs and Vaccines.

  PMID 34745063 · PMC8564382 · Frontiers in microbiology · 2021 · 7 claims · 7 setups

  Has reproduction · 67

  Tn-seq using the TnSC189 mariner transposon identified 329 essential genes in V. anguillarum NB10Sm from a library of 52,662 insertion mutants.

  vibrio coli anguillarum transposon-insertion conjugative functional

• Translating genome sequences into biological understanding.

  PMID 12801409 · PMC193614 · Genome biology · 2003 · 8 claims · 7 setups

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  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.

  embryonic transfectable drosophila computational gene-trap pooled cross-species

• Severe COVID-19 Shares a Common Neutrophil Activation Signature with Other Acute Inflammatory States.

  PMID 35269470 · PMC8909161 · Cells · 2022 · 7 claims · 7 setups

  Has reproduction · 88

  COVID-19 and HLH share immunological pathways, yielding 237 common up-regulated DEGs dominated by cytokine/chemokine signaling and neutrophil-mediated immune responses.

  peripheral leukocytes plasma degs bulk single-cell plasma

• 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

  Has reproduction · 72

  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)

  ffpe same nanostring training nanostring immunohistochemistry differential

• 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

  Has reproduction · 64

  Dgat2 is a hub mitochondria-related differentially expressed gene (MitoDEG) that can serve as a novel biomarker and therapeutic target in MI/RI

  heart degs dgat2 mitodegs microarray kegg protein-protein

• Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information.

  PMID 15941473 · PMC1164402 · BMC bioinformatics · 2005 · 8 claims · 5 setups

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  A combined linguistic+statistical+rule-based method achieves precision 0.61 and recall 0.97 (f=0.74) detecting yeast protein-protein interactions across 12,300 Medline abstracts.

  yeast yeast-related interaction random dictionary-based manual graph

• The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists.

  PMID 17784955 · PMC2375021 · Genome biology · 2007 · 8 claims · 6 setups

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  Gene-gene functional similarity can be measured using kappa statistics applied to a binary gene-annotation-term matrix built from 14 annotation categories.

  genome protein-protein genes artificial kappa clustering gene

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain

• Network properties of complex human disease genes identified through genome-wide association studies.

  PMID 19956617 · PMC2779513 · PloS one · 2009 · 7 claims · 6 setups

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  Complex disease genes are significantly less central (lower degree/closeness, higher eccentricity) in the human interactome than essential and monogenic disease genes, occupying an intermediate niche between monogenic disease genes and non-disease genes

  complex interactome gene disease-sharing gene protein-protein