A method which replaces values below 0 or beyond 1 contained in the input matrix. These wrong entries are replaced by 0 or 1, respectively. Note that this method is especially designed for DNA methylation data.
any matrix filled with values that normally should be bounded between 0 and 1.
Note that this method is especially designed to run after the batch
effect correction of DNA methylation data, e.g. with the
imputeMissingData method. It can happen, that the predicted
values are lying slightly below the lower bound of 0 or beyond the upper
bound of 1. This method finds these inaccurately predicted entries. Another
replaceWrongValues replaces these values either
by 0 or 1, respectively. Another method called
returns a list of existing wrong values and can be run before the
Returns the input matrix with every value previously below 0 changed to 0 and every value previously beyond 1 changed to 1.
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