Papers: 10.1371/journal.pcbi.1005700

https://doi.org/10.1371/journal.pcbi.1005700

Extracting replicable associations across multiple studies: Empirical Bayes algorithms for controlling the false discovery rate

Cited by: 15
Author(s): David Amar, Ron Shamir, Daniel Yekutieli
Published: about 9 years ago

Software Mentions 4

cran: fdrtool
Estimation of (Local) False Discovery Rates and Higher Criticism
Papers that mentioned: 124
Very Likely Science (80)
cran: locfdr
Computes Local False Discovery Rates
Papers that mentioned: 30
Very Likely Science (83)
cran: repfdr
Replicability Analysis for Multiple Studies of High Dimension
Papers that mentioned: 2
Very Likely Science (100)
pypi: tool
A compact modular conf/web/console framework.
Papers that mentioned: 293
Very Likely Science (65)