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).

• SePaCS--a web-based application for classification of seroreactivity profiles.

  PMID 17478503 · PMC1933220 · Nucleic acids research · 2007 · 8 claims · 4 setups

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  SePaCS is a freely available web-based tool that trains and applies multiple classification methods (4 Naive Bayes variants, SVM with RBF kernel, LDA, DLDA) to seroreactivity profiles and outputs results as a summary table plus a detailed PDF report

  blood computational seroreactivity supervised mutual

• Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

  PMID 16980117 · PMC7159276 · Lancet (London, England) · 2006 · 8 claims · 5 setups

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  An SVM classifier trained on serum proteomic profiles discriminated patients with active tuberculosis from controls with clinically overlapping conditions

  serum computational kda spin-column seldi-tof supervised peptide

• Serum protein profile in systemic-onset juvenile idiopathic arthritis differentiates response versus nonresponse to therapy.

  PMID 15987476 · PMC1175022 · Arthritis research & therapy · 2005 · 8 claims · 8 setups

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  SELDI-TOF MS can differentiate serum protein profiles of active versus well-controlled SJIA

  serum clustered pooled trypsin-digested seldi-tof cart immunoprecipitation

• 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

• On consensus biomarker selection.

  PMID 17570864 · PMC1892093 · BMC bioinformatics · 2007 · 7 claims · 2 setups

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  Four popular feature ranking criteria (t-statistic, mutual information, peak probability contrasts, random forest variable importance) produce different rankings of the same features on the same dataset.

  serum seldi-tof maldi-tof

• Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.

  PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups

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  Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity

  breast early-stage diffuse dlbcl gene

• Bayesian survival analysis in genetic association studies.

  PMID 18617538 · PMC2530885 · Bioinformatics (Oxford, England) · 2008 · 7 claims · 5 setups

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  A novel Bayesian method (BETA-Surv) extends prior case-control haplotype-clustering work to censored survival outcomes by clustering haplotypes via gene tree/perfect phylogeny topology and relative mutation age.

  simulated same sanad bayesian univariate partial