dist.func

mndata

is a booleon variable to denote whether columns should first be scaled to 0-1.

standardize

dictates how distance is computed.  Currently, only "euclidean" is implemented.

method

allows user to specify the centroid values for each column.  Otherwise, the mean of each column is taken by default.

centroid


<code>dist.func</code> returns a sum total of all distances for each row of the matrix from the centroid.


An adaptive normalization algorithm that selects housekeeping genes
based on the sample level variability in the data. This is suitable for any data
obtained from RT-qPCR assays.  A manuscript describing the method is submitted
to Genome Biology under ``MiRA-norm: An Adaptive Method for the Normalization of MicroRNA Array Data``, Yuda Zhu et al.

dist.func: Calculating the distance between each row of the matrix and the centroid

Description

Usage

Arguments