dataT: DataT function
In EvansLaboratory/OBIF: Omics-Based Interaction Framework

dataT

R Documentation

DataT function

Description

This function transforms the un-scaled original expression values from the data matrix m into the chosen OBIF-scaled expression values that will be used for Full Factorial Analysis. The data matrix m must have already been extracted from the original Omics data using either the DatAR or fExpr functions. The scaling method should've already been chosen from the results of the analys of the function normD. The data matrix m should not have any outliers identified by HCsam, and if so, reanalysis with norm D is required to choose the best data scaling. The scaling methods include: 0, original; 1, background correction only; 2, log2 transformation only; 3, quantile normalization only; 4, background correction + log2 transformation; 5, background correction + quantile normalization; 6, log2 transformation + quantile normalization; 7, background correction + log2 transformation + quantile normalization.

Usage

dataT(expr.val, method)

Arguments

`expr.val`	A data frame containing the unscaled original values of the data matrix m that will be used for analysis.
`method`	A numeric value indicating the scaling strategy of the data matrix m as indicated above.