quantileNormalize-methods: Quantile normalization (methods)
Description
Methods for applying quantile normalization to multiple bins of data, divided by a sliding window approach
Methods
- x = "missing", y = "missing"
- Handle empty function call
- x = "matrix", y = "missing"
- Handle matrix input, reinterpret function call with two vector input if matrix has two columns, otherwise handle as empty function call
- x = "vector", y = "missing"
- Handle empty function call
- x = "vector", y = "ExpressionSet"
- Handle input of an object of class
ExpressionSet. Derive binning information from this class but use data from a vector input. - x = "vector", y = "vector"
- Handle input of two vectors specifying data and binning information, respectively.
- x = "ExpressionSet", y = "missing"
- Handle input of an object of class
ExpressionSet. Derive both data and binning information from a single object. - x = "ExpressionSet", y = "vector"
- Handle input of an object of class
ExpressionSet. Derive data from this class but use binning information from a vector input. - x = "ExpressionSet", y = "ExpressionSet"
- Handle input of two objects of class
ExpressionSet. Derive data and binning information from each one, respectively.