Description Usage Arguments Examples
Here, we conduct a two stage fitting process to the normal distribution: 2D quantile normalization, followed by a non-paranormal transformation. You can choose to substitute by other fitting methods, too. A matrix of z-scores is returned.
1 | data.fitDataToNormal(data, isControlSample)
|
data |
- A matrix of floating point numbers. |
isControlSample |
- A vector indicating which rows in the matrix come from control samples and which do not (1 or 0). |
1 | data.zscore = data.fitDataToNormal(data_mat, c(1,1,0,0,0,1,1,1,1))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.