a4 (version 1.20.0)

lassoClass: Classify using the Lasso

Description

Classify using the Lasso algorithm as implemented in the glmnet package

Usage

lassoClass(object, groups)

Arguments

object

object containing the expression measurements; currently the only method supported is one for ExpressionSet objects

groups

character string indicating the column containing the class membership

Value

• object of class glmnet

References

Goehlmann, H. and W. Talloen (2009). Gene Expression Studies Using Affymetrix Microarrays, Chapman & Hall/CRC, pp. 183, 205 and 212.

See Also

glmnet

Examples

if (require(ALL)){
  data(ALL, package = "ALL")
  ALL <- addGeneInfo(ALL)
  ALL$BTtype <- as.factor(substr(ALL$BT,0,1))

  resultLasso <- lassoClass(object = ALL, groups = "BTtype")
  plot(resultLasso, label = TRUE,
    main = "Lasso coefficients in relation to degree of
  penalization.")
  featResultLasso <- topTable(resultLasso, n = 15)
}