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Papers: 10.1371/journal.pgen.1007139

https://doi.org/10.1371/journal.pgen.1007139

An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations

Cited by: 40
Author(s): Årindam Majumdar, Tanushree Haldar, Sourabh Bhattacharya, John S. Witte
Published: over 7 years ago

Software Mentions 4

bioconductor: ASSET
An R package for subset-based association analysis of heterogeneous traits and subtypes
Papers that mentioned: 72
Very Likely Science (100)
bioconductor: GPA
GPA (Genetic analysis incorporating Pleiotropy and Annotation)
Papers that mentioned: 260
Very Likely Science (100)
cran: CPBayes
Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations
Papers that mentioned: 1
Very Likely Science (99)
cran: MultiPhen
A Package to Test for Multi-Trait Association
Papers that mentioned: 29
Very Likely Science (83)