Package: PAGWAS 2.0

PAGWAS: Pathway Analysis Methods for Genomewide Association Data

Bayesian hierarchical methods for pathway analysis of genomewide association data: Normal/Bayes factors and Sparse Normal/Adaptive lasso. The Frequentist Fisher's product method is included as well.

Authors:Marina Evangelou

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PAGWAS.pdf |PAGWAS.html✨
PAGWAS/json (API)

# Install 'PAGWAS' in R:
install.packages('PAGWAS', repos = c('https://mevangelou.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • SNPs - A data frame of 100 artificial SNPs with their chromosomes and positions on the genome
  • genes - A data frame of 20 artificial genes with their chromosomes and positions on the genome
  • genotypes - Genotypes for 100 SNPs and 75 individuals
  • list.of.parameters - A list with possible hyper-parameters for NBF
  • pathways - A list of 2 pathways with their gene members

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7 exports 0.00 score 5 dependencies 11 scripts 134 downloads

Last updated 9 years agofrom:f72f5ebcca. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 28 2024
R-4.5-winERRORAug 28 2024
R-4.5-linuxERRORAug 28 2024
R-4.4-winERRORAug 28 2024
R-4.4-macERRORAug 28 2024
R-4.3-winERRORAug 28 2024
R-4.3-macERRORAug 28 2024

Exports:create.pathway.dfFM.chi.pvalueNBFSNALSNAL.calculationsnps.to.genessnps.to.pathways

Dependencies:codetoolsforeachiteratorslarsmnormt