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).

• An online database for brain disease research.

  PMID 16594998 · PMC1489945 · BMC genomics · 2006 · 7 claims · 5 setups

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  SMRIDB is a comprehensive web-based database integrating gene expression data and clinical metadata to aid understanding of the genetic effects of brain disease (bipolar disorder, schizophrenia, depression)

  postmortem individual disease studies microarray array gene-by-gene

• Genome-wide analysis of human disease alleles reveals that their locations are correlated in paralogous proteins.

  PMID 18989397 · PMC2565504 · PLoS computational biology · 2008 · 7 claims · 5 setups

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  The locations of sequence variants are correlated between paralogous human proteins more than expected by chance.

  dbsnp best-hit omicia hgmd genome-wide correlation disease

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

  Full-text index only

  Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.

  ensembl training same hgmd comparative machine tenfold

• Integration of text- and data-mining using ontologies successfully selects disease gene candidates.

  PMID 15767279 · PMC1065256 · Nucleic acids research · 2005 · 7 claims · 6 setups

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  Integrating eVOC anatomical ontology-based text-mining of PubMed abstracts with data-mining of gene expression annotation successfully selects and prioritizes candidate disease genes

  biomedical refseq training independent text-mining data-mining candidate

• 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

• SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering.

  PMID 39775401 · PMC11709272 · PloS one · 2025 · 8 claims · 5 setups

  Has reproduction · 81

  SEMdag() is a two-step order-based algorithm for fast learning of high-dimensional linear SEMs, using knowledge-based (KB) or data-driven bottom-up (BU) node/layer ordering followed by penalized (L1) DAG estimation

  amyotrophic breast coronavirus st-elevation rna-seq comparative

• Identification of disease causing loci using an array-based genotyping approach on pooled DNA.

  PMID 16197552 · PMC1262713 · BMC genomics · 2005 · 8 claims · 5 setups

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  Pooling genomic DNA and genotyping on SNP microarrays accurately predicts allelic frequencies relative to individual genotyping

  genomic pools training siddt individual pooled k-correction

• Biased exon/intron distribution of cryptic and de novo 3' splice sites.

  PMID 16141195 · PMC1197134 · Nucleic acids research · 2005 · 7 claims · 5 setups

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  Cryptic 3'ss (from 3'YAG consensus mutations) are significantly more frequent in exons than in introns

  disease authentic hek293t nuclear literature shapiro-senapathy splicing

• Biomarkers that discriminate multiple myeloma patients with or without skeletal involvement detected using SELDI-TOF mass spectrometry and statistical and machine learning tools.

  PMID 17124346 · PMC3862287 · Disease markers · 2006 · 8 claims · 5 setups

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  SELDI-TOF MS serum profiling can discriminate MM patients with vs without skeletal (bone lesion) involvement using peak biomarkers

  serum seldi seldi-tof serum univariate

• Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.

  PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups

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  Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes

  pubmed genes same randomly geneseeker evoc disease

• What can genome-wide association studies tell us about the genetics of common disease?

  PMID 18454206 · PMC2323402 · PLoS genetics · 2008 · 8 claims · 4 setups

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  Apparent patterns of common, low-effect disease-associated alleles largely reflect statistical power of studies rather than the true underlying distribution of disease variants

  case gwa simulated literature cochran-armitage computer

• PDA: Pooled DNA analyzer.

  PMID 16643673 · PMC1539032 · BMC bioinformatics · 2006 · 8 claims · 4 setups

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  No software existed prior to PDA for complete pooled-DNA analysis including data standardization, allele frequency estimation, and single/multipoint association tests

  heterozygous pools ordered peak pooled single-point

• The matrix metalloproteinase-3 (MMP-3) 5A/6A promoter polymorphism is not associated with ischaemic heart disease: analysis employing a family based approach.

  PMID 15665388 · PMC3839324 · Disease markers · 2004 · 6 claims · 3 setups

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  The MMP-3 -1612 5A/6A polymorphism is not associated with ischaemic heart disease in an Irish population.

  peripheral family extended pcr-rflp combined pedigree

• Putting science over supposition in the arena of personalized genomics.

  PMID 18665132 · PMC2531214 · Nature genetics · 2008 · 6 claims · 3 setups

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  There is a rapidly widening gap between gene-disease association discovery and research into the public health/clinical utility of that information.

  adults same tested baseline multiplex telephone-based

• Gene Set Enrichment Analysis Reveals Individual Variability in Host Responses in Tuberculosis Patients.

  PMID 34421903 · PMC8375662 · Frontiers in immunology · 2021 · 8 claims · 8 setups

  Has reproduction · 71

  TB patients show substantial individual variability in the intensity of hallmark IFN responses, as well as in complement system, metabolic, and other pathway responses.

  blood cynomolgus external gene differential principal

• DESE: estimating driver tissues by selective expression of genes associated with complex diseases or traits.

  PMID 31694669 · PMC6836538 · Genome biology · 2019 · 8 claims · 8 setups

  Has reproduction · 56

  DESE is a unified iterative framework that estimates driver tissues of complex diseases/traits from tissue-selective expression of GWAS-associated genes, and outputs prioritized susceptibility genes as a byproduct

  tissues schizophrenia bipolar coronary rna-seq gwas gene

• POCUS: mining genomic sequence annotation to predict disease genes.

  PMID 14611661 · PMC329128 · Genome biology · 2003 · 8 claims · 6 setups

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  Genes predisposing to the same disease tend to share functional annotation IDs (GO/InterPro) more than expected by chance

  omim genome disease comparative pocus expression-id

• Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.

  PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups

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  A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies

  modeled analytic factorial power

• 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