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).

• Pharmacogenomic biomarkers.

  PMID 12364812 · PMC3850811 · Disease markers · 2002 · 8 claims · 8 setups

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  Development of a pharmacogenomic biomarker requires sequential steps: laboratory identification, retrospective confirmation in clinical samples, prospective clinical trial validation, and regulatory approval before patient stratification.

  populations population tumor breast genetic array immunohistochemistry

• An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.

  PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups

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  A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.

  lung known leukemia tumor paired-end computational snp

• Downregulation of death-associated protein kinase 1 (DAPK1) in chronic lymphocytic leukemia.

  PMID 17540169 · PMC4647864 · Cell · 2007 · 8 claims · 13 setups

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  DAPK1 promoter is epigenetically silenced by DNA methylation in almost all sporadic CLL cases

  cd19+ leukemia raji jurkat quantitative cobra chromatin

• HIV-1 Nef binds the DOCK2-ELMO1 complex to activate rac and inhibit lymphocyte chemotaxis.

  PMID 14737186 · PMC314466 · PLoS biology · 2004 · 8 claims · 8 setups

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  HIV-1 Nef binds the DOCK2-ELMO1 complex (which also contains Rac) in T cells

  jurkat hek resting ns1 two-step ni-nta anti-flag

• Towards precise classification of cancers based on robust gene functional expression profiles.

  PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups

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  Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets

  nci60 lymphoma fep go-annotated cdna recursive hypergeometric