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).

• Accurate splice site prediction using support vector machines.

  PMID 18269701 · PMC2230508 · BMC bioinformatics · 2007 · 8 claims · 5 setups

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  Weighted degree (WD) kernel SVMs outperform Markov Chains, GeneSplicer and SpliceMachine for genome-wide splice site recognition

  nn269 dgsplicer caenorhabditis arabidopsis svm genome-wide

• Mapping proteins to disease terminologies: from UniProt to MeSH.

  PMID 18460185 · PMC2367626 · BMC bioinformatics · 2008 · 8 claims · 7 setups

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  Developed a three-step procedure (disease name extraction, exact matching, partial/similarity-based matching) to map UniProtKB/Swiss-Prot disease names to MeSH terms

  randomly swiss-prot uniprotkb mesh manual exact partial

• Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines.

  PMID 18005451 · PMC2216041 · BMC bioinformatics · 2007 · 8 claims · 5 setups

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  Parepro, an SVM-based method integrating three attribute sets (RD, MI, IE) derived from evolutionary and residue-property information, predicts whether an nsSNP is deleterious or neutral.

  sequences target svm benchmark homology

• Highly cost-efficient genome-wide association studies using DNA pools and dense SNP arrays.

  PMID 18276640 · PMC2346606 · Nucleic acids research · 2008 · 8 claims · 5 setups

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  Illumina HumanHap300 arrays are substantially more efficient than Affymetrix Genechip HindIII arrays for DNA-pooling based GWAS

  pools same publicly simulated pooling individual simulation

• fREDUCE: detection of degenerate regulatory elements using correlation with expression.

  PMID 17941998 · PMC2174516 · BMC bioinformatics · 2007 · 6 claims · 5 setups

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  fREDUCE is a computational method that detects weak or degenerate binding motifs from gene expression or ChIP-chip data by exhaustive search of degenerate IUPAC oligonucleotides

  saccharomyces cerevisiae hepatocytes chip-chip motif-finding gene