GetSemiSuperClusters: Driver Function for Calling Semi-Supervised Clustering...

In dsherma7/PolyploidDosageCalling: Calls the Dosage From Tetraploid qPCR Data (CT/RQ Values)

Description

This function call the semi-supervised clustering algorithm for each plate/job of a given dataset.

Usage

GetSemiSuperClusters(AllData, Target = "Assay1", Controls = NULL)

Arguments

AllData	data.frame containing the relevent data. There must be a column for each of the VarNames/VarIndices, and the control samples must exactly match the Contols data.frame.
Target	The target gene for calling the dosage. Must follow the exact name in datasets.
Controls	data.frame containing the Control values for this experiment. Must have column names of Actual.Name, Name, Dosage; where Actual.Name is what is found exactly in the data sets, Name is the desired output name (often the same as Actual.Name), and Dosage is the Dosage for each control. If NULL then this algorithm is no different than K-Means clustering, and will not return correct dosage numbers..
VarIndices	Index of the columns that contain variables to be used in the clustering process.
VarNames	Names of the columns that contain variables to be used in the clustering process. Using this will replace VarIndices with the indices of the provided VarNames.

dsherma7/PolyploidDosageCalling documentation built on May 23, 2019, 6:06 p.m.