initialise_raw_data: Initialise raw data

In BTR: Training and Analysing Asynchronous Boolean Models

Description

This function initialise raw gene expression values in a matrix. Return either a matrix of (1) continuous values or (2) binary values. Note that kmeans clustering as binarisation only works well if the data has a bimodal distribution.

Usage

initialise_raw_data(x, max_expr = "high", uni_thre = 0.2, scale = T,
  discretised = F)

Arguments

x	matrix. Numeric data of gene expression.
max_expr	character. Specify whether max expression value is the lowest (as in qPCR), or the highest (as in RNAseq and microarray). Option: 'low', 'high'. Default to 'high'.
uni_thre	numerical. Speficy threshold for unimodality test. Default to 0.2.
scale	logical. Whether to scale the data to a range of 0-1. Default to T.
discretised	logical. Whether to return discretised data. Default to F.

BTR documentation built on May 2, 2019, 12:21 p.m.