Combining least absolute shrinkage and selection operator (LASSO) and principal-components analysis for detection of gene-gene interactions in genome-wide association studies

Eitemau Tebyg

• Comparison between the stochastic search variable selection and the least absolute shrinkage and selection operator for genome-wide association studies of rheumatoid arthritis
  gan: Srivastava, Sudeep, et al.
  Cyhoeddwyd: (2009)
• Detecting single-nucleotide polymorphism by single-nucleotide polymorphism interactions in rheumatoid arthritis using a two-step approach with machine learning and a Bayesian threshold least absolute shrinkage and selection operator (LASSO) model
  gan: González-Recio, Oscar, et al.
  Cyhoeddwyd: (2009)
• Using Multivariate Regression Model with Least Absolute Shrinkage and Selection Operator (LASSO) to Predict the Incidence of Xerostomia after Intensity-Modulated Radiotherapy for Head and Neck Cancer
  gan: Lee, Tsair-Fwu, et al.
  Cyhoeddwyd: (2014)
• Measurement error correction in the least absolute shrinkage and selection operator model when validation data are available
  gan: Vasquez, Monica M, et al.
  Cyhoeddwyd: (2017)
• TESTING SIGNIFICANCE OF FEATURES BY LASSOED PRINCIPAL COMPONENTS
  gan: Witten, Daniela M., et al.
  Cyhoeddwyd: (2008)