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).

• A metadata approach for clinical data management in translational genomics studies in breast cancer.

  PMID 19948017 · PMC3225860 · BMC medical genomics · 2009 · 8 claims · 5 setups

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  A metadata/CDE-based approach using CancerGrid's semantic web tools enables automatic integration of heterogeneous clinical datasets without loss of original detail

  clinical breast metadata estrogen her2

• Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq.

  PMID 33441952 · PMC7806779 · Scientific reports · 2021 · 8 claims · 6 setups

  Has reproduction · 47

  Carcinoma cell profiles are distinct for each patient, while diverse microenvironmental (nonmalignant) subsets are shared across different patients.

  tumour single differentially seurat-identified single-cell differential gene

• Prediction of prognostic signatures in triple-negative breast cancer based on the differential expression analysis via NanoString nCounter immune panel.

  PMID 33138797 · PMC7607642 · BMC cancer · 2020 · 8 claims · 8 setups

  Has reproduction · 72

  edgeR-based DEG selection is more appropriate for feature selection than Elastic Net when sample sizes are small.

  ffpe same nanostring tnbc nanostring immunohistochemistry differential

• Science star over Asia.

  PMID 16149850 · PMC1201306 · PLoS biology · 2005 · 8 claims · 7 setups

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  Ariff Bongso and associates at Singapore's National University Hospital were the first to derive human embryonic stem cells, from a five-day-old discarded human embryo in 1994, and showed the cells were pluripotent with therapeutic transplant potential.

  blastocyst embryonic fugu rice embryo culture whole-genome

• 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