Screening for interaction effects in gene expression data

HIGHLIGHTS

• who: Peter J. Castaldi and colleagues from the Massachusetts, United States of America, Department of Biostatistics, University of Washington, Seattle have published the article: Screening for interaction effects in gene expression data, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0173847]. March 16, 2017 of December/30,/2016
• what: The authors show through simulations that genome-wide interaction screening in the setting of moderate to large main and interaction effects poses two major challenges. Using simulation the authors investigate these issues by quantifying the performance of five analytical strategies to detect . . .
  

   

  

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