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).

• Shaken not stirred: a global research cocktail served in Hinxton.

  PMID 18036269 · PMC2258181 · Genome biology · 2007 · 8 claims · 8 setups

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  Network-guided reverse genetics using probabilistic functional gene networks (e.g. YeastNet, WormNet) reduces the search space for identifying genes in a given biological process

  budding caenorhabditis drosophila escherichia two-color double chip-chip

• Network inference and network response identification: moving genome-scale data to the next level of biological discovery.

  PMID 20174676 · PMC3087299 · Molecular bioSystems · 2010 · 8 claims · 8 setups

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  Cellular response to a signal is assumed to involve only specific TRN modules (conditionally active subnetworks) rather than the entire network, providing quantitative tractability

  yeast specified normal coli chip-on-chip chip-sequencing correlation-based

• Network-assisted protein identification and data interpretation in shotgun proteomics.

  PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups

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  Confidently identified proteins in a sample form tightly connected sub-networks in the protein interaction network, with significantly higher clustering coefficients than random or topology-matched random sub-networks.

  yeast organs mammary organ shotgun clique-enrichment microarray

• Transcription network construction for large-scale microarray datasets using a high-performance computing approach.

  PMID 18366618 · PMC2386070 · BMC genomics · 2008 · 8 claims · 7 setups

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  RMT removes the random noise component of the gene expression correlation matrix by testing its eigenvalue statistics against a null hypothesis derived from a truly random correlation matrix

  yeast liver eight-node microarray k-means hybrid

• Structure of protein interaction networks and their implications on drug design.

  PMID 19876376 · PMC2760708 · PLoS computational biology · 2009 · 8 claims · 6 setups

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  Budding yeast and human PINs are scale-rich and configured as highly optimized tolerance (HOT) networks similar to Internet router-level topology, rather than scale-free networks formed by preferential attachment.

  budding pin yeast protein-protein graph-theoretic gene

• Human synthetic lethal inference as potential anti-cancer target gene detection.

  PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups

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  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

  saccharomyces sapiens ihsln genes database phylogenetic gene

• Seeded Bayesian Networks: constructing genetic networks from microarray data.

  PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups

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  Seeding Bayesian Network analysis with prior networks derived from literature and/or PPI data improves recovery of known gene-gene interactions compared to BN analysis without a seed

  leukemia interactome pubmed-indexed computational microarray yeast literature

• Interactome networks: the state of the science.

  PMID 16515723 · PMC1431712 · Genome biology · 2006 · 8 claims · 8 setups

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  Spastin interacts with CHMP1B, an ESCRT-III-associated protein, supporting a role for spastin in intracellular membrane trafficking relevant to hereditary spastic paraplegia

  genes tnfα orf proteins yeast tandem interference

• 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

• Filtering high-throughput protein-protein interaction data using a combination of genomic features.

  PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.

  saccharomyces bank caenorhabditis homo yeast mass naive

• Identification of the proliferation/differentiation switch in the cellular network of multicellular organisms.

  PMID 17166053 · PMC1664705 · PLoS computational biology · 2006 · 8 claims · 8 setups

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  Integrating interactome and transcriptome data reveals a pair of transcriptionally anticorrelated network modules (P and D) each comprising hundreds of genes, present across individuals and species.

  postmortem genes gene proteins microarray protein-protein hierarchical

• 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

• 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

• Adaptations to climate in candidate genes for common metabolic disorders.

  PMID 18282109 · PMC2242814 · PLoS genetics · 2008 · 8 claims · 7 setups

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  A network-based bioinformatics approach (Molecular Triangulation) was used to select 82 candidate genes belonging to the core subnetwork of metabolic syndrome phenotypes.

  individuals population genic compiled snp spearman bayesian

• Gene co-expression network analysis in human spinal cord highlights mechanisms underlying amyotrophic lateral sclerosis susceptibility.

  PMID 33707641 · PMC7970949 · Scientific reports · 2021 · 8 claims · 8 setups

  Has reproduction · 100

  WGCNA on control human cervical spinal cord RNA-seq identifies 13 co-expression modules (SC.M1-M13), each representing distinct biological processes or cell types.

  cervical als top yeast bulk stratified protein-protein

• VIRGO: computational prediction of gene functions.

  PMID 16845022 · PMC1538839 · Nucleic acids research · 2006 · 8 claims · 6 setups

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  VIRGO constructs a functional linkage network (FLN) from gene expression and molecular interaction data, labels genes with GO annotations, and propagates these labels to predict functions of unlabelled genes

  cerevisiae sapiens leave-one-out gene protein-protein

• Systems biology and the host response to viral infection.

  PMID 18066032 · PMC7097743 · Nature biotechnology · 2007 · 8 claims · 8 setups

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  Systems biology integration of 'omics data (transcriptomics, proteomics, genomics) with computational modeling is needed to fully understand virus-host interactions and identify novel antiviral targets

  lung cd4 rhesus kshv microarray quantitative genomic

• InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.

  PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups

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  InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM

  saccharomyces homo bank computational yeast tandem

• Reconstruction of human protein interolog network using evolutionary conserved network.

  PMID 17493278 · PMC1885812 · BMC bioinformatics · 2007 · 8 claims · 7 setups

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  A relative conservation score derived from maximal quasi-cliques in protein interaction networks, combined with other interaction features, can score and rank predicted human interologs for confidence.

  ppi sequences interaction predicted interolog orthology quasi-clique

• Evolutionary origins of human apoptosis and genome-stability gene networks.

  PMID 18832373 · PMC2577361 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  The entanglement of DNA repair, chromosome stability and apoptosis gene networks appears with the caspase gene family and the antiapoptotic gene BCL2.

  apoptosis fully same orthologous protein-protein comparative orthology