a4Classif (version 1.16.0)

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)
}