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).

• A model-based approach to selection of tag SNPs.

  PMID 16776821 · PMC1525207 · BMC bioinformatics · 2006 · 7 claims · 5 setups

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  The Li and Stephens hidden Markov model outperforms other tested models (simple Markov, two-state HMM, HMM-4D, greedy GR-1/GR-2) in description code-length, tag set information content, and prediction of tagged SNPs.

  hapmap encode enr112 tag cross-validated entropy tagged

• Efficacy assessment of SNP sets for genome-wide disease association studies.

  PMID 17726055 · PMC2034459 · Nucleic acids research · 2007 · 6 claims · 4 setups

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  τ, derived from Shannon entropy and swept radius ɛ, approximates the relative sample size efficiency of a marker set for mapping a causal variant at a given map position compared to a maximally polymorphic SNP

  hapmap affymetrix illumina genome-wide swept comparative

• Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.

  PMID 18769673 · PMC2518838 · PloS one · 2008 · 8 claims · 6 setups

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  The protein sequence-structure map behaves as a noisy digital communication channel whose capacity C exceeds the transmission rate R for native structures, satisfying Shannon's noisy channel theorem

  chains pdbselect25 same single-domain statistical channel negative

• Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.

  PMID 19758473 · PMC2745591 · BMC bioinformatics · 2009 · 8 claims · 8 setups

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  None of 39 tested structural properties can be used as a sole classification criterion to separate neutral SNPs from disease mutations.

  ensembl swissprot same structural foldx side

• Combining evidence of preferential gene-tissue relationships from multiple sources.

  PMID 23950964 · PMC3741196 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 53

  A high-level integration approach combining three methods across four human microarray datasets, merged by consensus voting and a rule-based inner/total score, predicts preferentially expressed genes while reducing method- and study-specific bias.

  normal four microarray genes microarray computational bayes