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).

• nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms.

  PMID 15980516 · PMC1160133 · Nucleic acids research · 2005 · 6 claims · 4 setups

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  nsSNPAnalyzer is a web server that predicts whether a query nsSNP is disease-associated or functionally neutral using a Random Forest classifier combining structural and evolutionary information

  curated homologous structure random structural secondary

• Large-scale analysis of human alternative protein isoforms: pattern classification and correlation with subcellular localization signals.

  PMID 15860772 · PMC1087780 · Nucleic acids research · 2005 · 8 claims · 8 setups

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  Constructed a large-scale dataset of 6876 human alternative protein isoforms from 2624 genes by combining H-Invitational full-length cDNA data and SwissProt VARSPLIC entries

  full-length alternative refseq genome pairwise mitochondrial signal

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

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

  Full-text index only

  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

• Extraction of human kinase mutations from literature, databases and genotyping studies.

  PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups

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  A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text

  pubmed large labeled swissprot literature supervised comparative

• An SVM-based system for predicting protein subnuclear localizations.

  PMID 16336650 · PMC1325059 · BMC bioinformatics · 2005 · 7 claims · 3 setups

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  New kernels defined on k-peptide vectors mapped by BLOSUM62-based high-scored pair matrices (D1, D2, D3) improve SVM discrimination of protein subnuclear localization compared to conventional k-peptide encodings.

  single-localization multi-localization same svm sequence