Evaluation of random forests performance for genome-wide association studies in the presence of interaction effects

Lignende værker

• Performance of random forests and logic regression methods using mini-exome sequence data
  af: Kim, Yoonhee, et al.
  Udgivet: (2011)
• r2VIM: A new variable selection method for random forests in genome-wide association studies
  af: Szymczak, Silke, et al.
  Udgivet: (2016)
• Comparison of results from tests of association in unrelated individuals with uncollapsed and collapsed sequence variants using tiled regression
  af: Sung, Heejong, et al.
  Udgivet: (2011)
• Old lessons learned anew: family-based methods for detecting genes responsible for quantitative and qualitative traits in the Genetic Analysis Workshop 17 mini-exome sequence data
  af: Simpson, Claire L, et al.
  Udgivet: (2011)
• Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes
  af: Wang, Yue, et al.
  Udgivet: (2013)