Papers: 10.1371/journal.pgen.1008973

https://doi.org/10.1371/journal.pgen.1008973

Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies

Cited by: 32
Author(s): Helian Feng, Nicholas Mancuso, Alexander Gusev, Årindam Majumdar, Megan Major, Bogdan Paşaniuc, Peter Kraft
Published: over 5 years ago

Software Mentions 2

cran: GBJ
Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies
Papers that mentioned: 5
Very Likely Science (85)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)