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).

• Representing and querying disease networks using graph databases.

  PMID 27462371 · PMC4960687 · BioData mining · 2016 · 7 claims · 8 setups

  Has reproduction · 77

  Graph databases are well suited for representing biological information because it is typically highly connected, semi-structured and unpredictable, unlike relational databases which require rigid schemas.

  uniprot proteins tissues asthma all-vs-all protein-protein metabolic

• 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

• GeneSetCart: assembling, augmenting, combining, visualizing, and analyzing gene sets.

  PMID 40208796 · PMC11984350 · GigaScience · 2025 · 8 claims · 8 setups

  Has reproduction · 76

  GeneSetCart is a web-based platform that lets users assemble, augment, combine, visualize, and analyze gene sets from multiple sources in one place

  user-assembled archs4 generif-derived aggregated gene gene-gene literature

• 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

• ChromBERT: A foundation model for learning interpretable representations for context-specific transcriptional regulatory networks.

  PMID 41592570 · PMC13069865 · Cell genomics · 2026 · 8 claims · 7 setups

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  ChromBERT is pre-trained via masked reconstruction on the Cistrome-Human-6K dataset (6,391 cistromes, 991 transcription regulators) to learn genome-wide interaction syntax of transcription regulators

  lines chromosome embryonic transcription chip-seq chromhmm hi-c

• 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

• Unravelling Synaptic and Metabolic Mechanisms of Cognitive Resilience in Asymptomatic Alzheimer's Disease Across Two Alzheimer's Disease Cohorts.

  PMID 41723778 · PMC12996523 · Cellular and molecular neurobiology · 2026 · 6 claims · 6 setups

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  Integrating DEG, DET, and DUT analyses (rather than DEGs alone) provides a more comprehensive view of the molecular mechanisms of AsymAD, since some genes/transcripts are only detected by transcript-level methods.

  postmortem combined ppi hippocampus bulk functional protein-protein

• Minimal metabolic pathway structure is consistent with associated biomolecular interactions.

  PMID 24987116 · PMC4299494 · Molecular systems biology · 2014 · 8 claims · 8 setups

  Has reproduction · 30

  MinSpan, a mixed-integer linear optimization algorithm, computes the shortest, linearly independent pathways (sparsest basis of the null space of the stoichiometric matrix S) for genome-scale metabolic networks, which convex approaches (extreme pathways, elementary flux modes) cannot do at genome scale.

  simplified genome-scale cerevisiae coli minspan spearman comparative