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).

• Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.

  PMID 19801557 · PMC2780952 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2009 · 6 claims · 3 setups

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  An SVM trained on 69 binary features of known PID genes can accurately classify PID vs non-PID genes and predict novel candidate PID genes

  genome training svm support leave-one-out sensitivity

• CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.

  PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 6 setups

  Has reproduction · 87

  CoINcIDE is a methodological framework that discovers replicable patient subtypes (meta-clusters) across multiple datasets by finding consensus across dataset-specific clusterings, requiring no between-dataset transformations.

  breast ovarian simulated gene semi-supervised novo

• Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.

  PMID 18618001 · PMC2442223 · PLoS genetics · 2008 · 8 claims · 6 setups

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  Zebrafish whole-adult-organism chemogenomics generates robust prediction models that discriminate P(H)AHs from ECs across independent experiments

  zebrafish computational seven consolidated whole-adult-organism supervised quantitative

• Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis.

  PMID 19903332 · PMC3091321 · Genome biology · 2009 · 6 claims · 5 setups

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  A candidate 37-transcript diagnostic signature distinguishes septicemic melioidosis from sepsis caused by other organisms with 100% accuracy in the training set and 78%/80% accuracy in two independent validation sets

  blood whole-genome unsupervised class

• A DNA microarray survey of gene expression in normal human tissues.

  PMID 15774023 · PMC1088941 · Genome biology · 2005 · 6 claims · 6 setups

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  Unsupervised hierarchical clustering of gene expression groups normal tissue samples largely according to anatomic location, cellular composition, or physiologic function.

  normal common computational each two-color comparative unsupervised