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).

• InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.

  PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups

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  InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM

  saccharomyces homo bank computational yeast tandem

• Predictive genomics of cardioembolic stroke.

  PMID 19064790 · PMC2752697 · Stroke · 2009 · 8 claims · 4 setups

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  A Bayesian network multivariate model achieves 86% predictive accuracy (AUC) for cardioembolic stroke on fitted values

  blood-derived gasros same custom bayesian roc

• Towards the identification of essential genes using targeted genome sequencing and comparative analysis.

  PMID 17052348 · PMC1624830 · BMC genomics · 2006 · 8 claims · 8 setups

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  Phyletic retention (ortholog presence across organisms) is the single most predictive feature of gene essentiality in both E. coli and S. cerevisiae.

  coli cerevisiae comparative machine single-gene

• Landscape of allele-specific transcription factor binding in the human genome.

  PMID 33980847 · PMC8115691 · Nature communications · 2021 · 8 claims · 6 setups

  Has reproduction · 82

  A novel statistical framework (ADASTRA) calls allele-specific TF binding from existing ChIP-Seq alignments by jointly correcting for background allelic dosage (BAD, from aneuploidy/CNVs) and reference mapping bias.

  gtrd k562 mcf7 types chip-seq variant bayesian

• Filtering high-throughput protein-protein interaction data using a combination of genomic features.

  PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.

  saccharomyces bank caenorhabditis homo yeast mass naive