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).

• Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.

  PMID 18923431 · PMC2692715 · Genes and immunity · 2009 · 7 claims · 6 setups

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  A two-stage strategy (Random Forest filtering followed by decision tree modeling) can integrate categorical genetic and continuous proteomic data to identify biomarkers of AE risk

  ebv-transformed serum combined rf-filtered snp serum random

• An integrated approach of immunogenomics and bioinformatics to identify new Tumor Associated Antigens (TAA) for mammary cancer immunological prevention.

  PMID 16351756 · PMC1866378 · BMC bioinformatics · 2005 · 8 claims · 6 setups

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  Meta-analysis of two independent BALB-neuT transcription profiling studies can identify new TAA candidates usable instead of or with Her2

  balb-neut normal breast probe microarray statistical enrichment

• Increasing the number of SNP loci does not necessarily improve prediction power at least in the comparison of MTHFR SNP and haplotypes.

  PMID 19075497 · PMC4771609 · Journal of epidemiology · 2008 · 7 claims · 6 setups

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  Increasing the number of typed SNP loci does not necessarily improve prediction power, at least for the MTHFR gene

  healthy genomic genotype trial randomized snp haplotype

• Patterns of somatic mutation in human cancer genomes.

  PMID 17344846 · PMC2712719 · Nature · 2007 · 8 claims · 5 setups

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  Systematic resequencing of a large gene family (protein kinases) across diverse cancers reveals a larger repertoire of cancer genes than previously anticipated

  cancers additional computational combined targeted follow-up statistical

• Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.

  PMID 18676414 · PMC2639365 · International journal of epidemiology · 2009 · 7 claims · 2 setups

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  Conventional power calculations for case-control studies disregard analytic complexity (e.g. clinical assessment errors, unmeasured aetiological determinants) and can seriously underestimate true sample size requirements

  simulated simulation-based simulated