calcTau: Implements tissue specificity algorithm

In roonysgalbi/tispec: Calculates tissue specificity from RNA-seq data

Description

This function first places all quantile normalised values into decile bins. For each gene, it then uses the bin profile (row of bin values) to calculate a single tau value between 0 (non-specific) and 1 (absolutely specific). Finally, for each gene it uses the tau value + quantile normalised counts to identify a tau expression fraction between 0 (non-specific) and 1 (absolutely specific) which indicates the specificity of a single gene for a single tissue

Usage

calcTau(x)

Arguments

x	quantile normalised data frame i.e. output from quantNorm()

Value

Returns a data frame of tau expression fractions indicating the specificty of a gene for a tissue between 0 (not specific) and 1 (absolutely specific)

Examples

head(qnExp)
tauExp <- calcTau(qnExp)
head(tauExp)

roonysgalbi/tispec documentation built on May 26, 2019, 1:33 a.m.