Nothing

```
#' Normalize the input matrix by column
#'
#' Normalize each column of x to have mean 0 and standard deviation 1.
#'
#' @param x A sample-feature matrix with rows as samples and columns as features
#'
#' @return A sample-feature matrix with rows as samples and columns as features,each column of the matrix have mean 0 and standard deviation 1
#' @author Xiaoyao Yin
#' @examples
#'
#' data_list <- simu_data_gen()
#' x <- data_list[[1]]
#' data_matrix <- Standard_Normalization(x)
#' @rdname Standard_Normalization
#' @export
Standard_Normalization = function(x) {
x = as.matrix(x);
mean = apply(x, 2, mean)
sd = apply(x, 2, sd)
sd[sd==0] = 1
xNorm = t((t(x) - mean) / sd)
return(xNorm)
}
```

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