Apply Median Harmonization to Precision Object

This function applies upper quartile normalization to miRNA-Seq data contained within a precision object. The normalization scales the raw read counts of each sample by the upper quartile value, ensuring consistency across datasets.

Usage

harmon.med(object)

Arguments

object

A precision object containing raw data. Harmonization is applied to the slots raw.train.data, raw.test1.data, and raw.test2.data (if applicable), each containing a list with data and label elements.

Value

A precision object with median normalization results added to the slots harmon.train.data, harmon.test1.data, and harmon.test2.data (if applicable).

Details

The function processes multiple datasets (e.g., "train", "test1", "test2") if they are present in the precision object. The normalized data is stored in the corresponding harmonization slots of the object.