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).

• Optimality driven nearest centroid classification from genomic data.

  PMID 17912341 · PMC1991588 · PloS one · 2007 · 7 claims · 5 setups

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  A theoretical result determines the subset of features of a given size that minimizes the misclassification rate for a nearest-centroid (LDA) classifier, based on equation (4).

  artificial simulated previously-published simulated simulation clinical

• 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

• ddRAD-seq reveals the genetic structure and detects signals of selection in Italian brown trout.

  PMID 35100964 · PMC8805291 · Genetics, selection, evolution : GSE · 2022 · 7 claims · 8 setups

  Has reproduction · 87

  Italian brown trout populations are genetically differentiated but show strong admixture introduced by stocking, especially with the Atlantic lineage.

  salmo brown subset five ddrad-seq read population

• Information extraction from full text scientific articles: where are the keywords?

  PMID 12775220 · PMC166134 · BMC bioinformatics · 2003 · 8 claims · 5 setups

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  The keyword content of the five article sections (A, I, M, R, D) is heterogeneous, i.e., different sections carry different kinds of information.

  corpus same articles keyword validation qualitative

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain