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).

• Gene-disease relationship discovery based on model-driven data integration and database view definition.

  PMID 19042916 · PMC2639000 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 4 setups

  Full-text index only

  Explicit gene–disease relationships can be formulated as candidate gene definitions (e.g., co-localization, dysregulation, functional similarity) that may include intermediary orthologous or interacting genes

  acgr disease term-based database case

• Identifying alternative hyper-splicing signatures in MG-thymoma by exon arrays.

  PMID 18545673 · PMC2409220 · PloS one · 2008 · 8 claims · 6 setups

  Full-text index only

  An integrative ad-hoc functional GO analysis combining threshold-based (Fisher exact/hypergeometric) and threshold-free (Kolmogorov-Smirnov) statistics, plus term-to-parent comparisons, detects disease-relevant splicing events from exon array data.

  mg-thymoma colon exon fluorescent reverse

• Functional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.

  PMID 18560577 · PMC2409962 · PloS one · 2008 · 7 claims · 5 setups

  Full-text index only

  Ranked Coexpression Groups (RCG) built from k=6 nearest coexpressed genes, combined with a majority-rule functional characterization, integrate multiple datasets/coexpression measures to generate high-confidence functional annotation predictions

  normal genome-wide same omim microarray sage computational

• Improvements to cardiovascular gene ontology.

  PMID 19046747 · PMC2706316 · Atherosclerosis · 2009 · 8 claims · 8 setups

  Full-text index only

  Gene Ontology (GO) provides a controlled vocabulary that links current functional knowledge of genes to high-throughput genomic and proteomic datasets, aiding data interpretation.

  coronary phospholamban mammalian lines gene expression large-scale

• 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

  Full-text index only

  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

• Upgrades to StellaBase facilitate medical and genetic studies on the starlet sea anemone, Nematostella vectensis.

  PMID 17982171 · PMC2238866 · Nucleic acids research · 2008 · 6 claims · 5 setups

  Full-text index only

  StellaBase Disease houses homology data for 155,904 invertebrate isoforms of human disease genes across four model systems, including 14,874 predicted Nematostella genes

  nematostella blastp est snp

• Commonality of functional annotation: a method for prioritization of candidate genes from genome-wide linkage studies.

  PMID 18263617 · PMC2275105 · Nucleic acids research · 2008 · 8 claims · 7 setups

  Full-text index only

  Genes correlated with a common complex trait are more likely to share GO functional annotations than genes not correlated with that trait

  genes candidate simulated alzheimer's genome-wide term null-hypothesis

• L2L: a simple tool for discovering the hidden significance in microarray expression data.

  PMID 16168088 · PMC1242216 · Genome biology · 2005 · 8 claims · 4 setups

  Full-text index only

  L2L systematically compares a user's differentially expressed gene list against a database of published differentially expressed gene lists to find statistically significant overlaps and generate hypotheses about shared mechanisms

  mammalian user-supplied diabetic uniprot compiled l2l re-analysis

• Gene- and evidence-based candidate gene selection for schizophrenia and gene feature analysis.

  PMID 19944577 · PMC2826526 · Artificial intelligence in medicine · 2010 · 8 claims · 5 setups

  Full-text index only

  The SCOR method outperforms the CCOR method for prioritizing schizophrenia candidate genes

  schizophrenia genes ranked gene-based gene expression

• A statistical framework for consolidating "sibling" probe sets for Affymetrix GeneChip data.

  PMID 18435860 · PMC2397416 · BMC genomics · 2008 · 7 claims · 4 setups

  Full-text index only

  A two-way ANOVA model with a treatment x probe-set interaction term can automatically determine whether sibling probe sets for a gene behave similarly (non-significant interaction, consolidate) or differently (significant interaction, treat as independent)

  retina thyroid spermatogonial differentially two-way paired anova-based