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).

• Comparing time series transcriptome data between plants using a network module finding algorithm.

  PMID 31164912 · PMC6544932 · Plant methods · 2019 · 8 claims · 6 setups

  Has reproduction · 59

  Converting gene expression patterns into co-expression networks and applying a cross-species network module finding algorithm (OrthoClust with simulated annealing) solves the problem of matching developmental stages between two species without requiring one-to-one stage mapping.

  soybean arabidopsis cross-species module reciprocal bulk co-expression

• pSTIING: a 'systems' approach towards integrating signalling pathways, interaction and transcriptional regulatory networks in inflammation and cancer.

  PMID 16381926 · PMC1347407 · Nucleic acids research · 2006 · 8 claims · 3 setups

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  pSTIING is a publicly accessible web-based knowledgebase integrating protein-protein, protein-lipid, protein-small molecule interactions, transcriptional regulatory associations, ligand-receptor-cell type information, and signal transduction modules, with a focus on inflammation, cell migration and cancer.

  model gene molecular sequence clustering literature

• Multimodal learning reveals plants' hidden sensory integration logic.

  PMID 41714925 · PMC13032346 · BMC genomics · 2026 · 8 claims · 8 setups

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  CoMM-BIP (Contrastive Multi-Modal learning with Biologically Informed Priors) integrates transcriptomic, metabolomic, and phenomic data using pathway-guided attention, information-theoretic disentanglement, and domain-aware augmentations

  tomato multimodal transcriptomics metabolomics

• SNAP: predict effect of non-synonymous polymorphisms on function.

  PMID 17526529 · PMC1920242 · Nucleic acids research · 2007 · 7 claims · 8 setups

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  SNAP, a neural network-based method using sequence-derived information, predicts whether a non-synonymous SNP is neutral or non-neutral for protein function

  combined escherichia bacteriophage hiv-1 neural benchmark comparative

• SNAP predicts effect of mutations on protein function.

  PMID 18757876 · PMC2562009 · Bioinformatics (Oxford, England) · 2008 · 8 claims · 3 setups

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  SNAP is a publicly available web-server implementation predicting functional effects (neutral/non-neutral) of single amino acid substitutions.

  mutant insulin neural alanine mutation

• 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

• Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.

  PMID 18053250 · PMC2246260 · Genome biology · 2007 · 8 claims · 4 setups

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  Loss-of-function phenotypes in yeast are predictable from a gene's connections in a functional gene network via guilt-by-association.

  saccharomyces guilt-by-association comparison network-guided

• Integrative network modeling reveals mechanisms underlying T cell exhaustion.

  PMID 32024856 · PMC7002445 · Scientific reports · 2020 · 8 claims · 7 setups

  Has reproduction · 59

  TCE arises from changes in diverse gene regulatory interactions across a shared network rather than dysregulation of a single gene

  cd8+ tce manual gene principal

• 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

• Organization of physical interactomes as uncovered by network schemas.

  PMID 18949022 · PMC2561054 · PLoS computational biology · 2008 · 7 claims · 5 setups

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  A computational procedure can systematically identify 'emergent' network schemas that are both recurrent and over-represented relative to randomized networks preserving lower-order subschema distributions

  cerevisiae sapiens uncharacterized network cross-species functional

• scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning.

  PMID 41507436 · PMC12859067 · Communications biology · 2026 · 7 claims · 7 setups

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  scXDR outperforms seven methods that transfer drug response information from bulk RNA-seq to single-cell data, across all four evaluated scenarios

  single-cell scrna-seq scxdr gse117872 heterogeneous benchmarking type

• Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies.

  PMID 19073697 · PMC2632920 · Nucleic acids research · 2009 · 8 claims · 5 setups

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  Combining high protein-interaction network scores with significant PID-related GO terms identifies novel PID candidate genes

  immunome known protein-interaction gene comparative

• Discovering cancer genes by integrating network and functional properties.

  PMID 19765316 · PMC2758898 · BMC medical genomics · 2009 · 8 claims · 6 setups

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  Cancer genes have distinct PPI network topology (higher connectivity, higher clustering coefficient, shorter path length to known cancer genes) compared to non-cancer genes

  genes gene colon ppi pfam term

• 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

• 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

• Proteomic analysis of integrin-associated complexes identifies RCC2 as a dual regulator of Rac1 and Arf6.

  PMID 19738201 · PMC2857963 · Science signaling · 2009 · 8 claims · 8 setups

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  A novel ligand-affinity/cross-linking proteomic methodology enables isolation of labile integrin-associated signaling complexes

  α5+ computational k562 embryonic ligand tandem hierarchical

• Metabolite-Centric Reporter Pathway and Tripartite Network Analysis of Arabidopsis Under Cold Stress.

  PMID 30258841 · PMC6143811 · Frontiers in bioengineering and biotechnology · 2018 · 8 claims · 8 setups

  Has reproduction · 83

  Metabolite-centric reporter pathway analysis (RPAm) computes reporter metabolites and reporter pathways from transcriptome P-values by aggregating Z-scores of neighboring genes in a genome-scale metabolic network

  arabidopsis gene-metabolite-pathway tripartite microarray metabolite-centric reporter

• Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.

  PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups

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  A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.

  liver simulated conserved nearly gene simulation kolmogorov-smirnov

• SiCmiR Atlas: Single-Cell miRNA Landscape Reveals Hub-miRNA and Network Signatures in Human Cancers.

  PMID 41691474 · PMC13042402 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  SiCmiR, a two-layer neural network, predicts mature miRNA expression profiles from only 977 LINCS L1000 landmark genes

  tcga k562 pancreatic acth-secreting paired bulk scrna-seq-based

• targetTB: a target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis.

  PMID 19099550 · PMC2651862 · BMC systems biology · 2008 · 8 claims · 8 setups

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  A comprehensive in silico target identification pipeline (targetTB) integrating interactome, reactome, essentiality, sequence and structural analyses can identify high-confidence drug targets for Mtb

  tuberculosis mtb protein-protein flux transposon