makePairwiseOrder

<p>A vector of gene expression values</p>

samp

<p>Takes in a vector of gene expression values and returns a binary vector consisting of the pairwise rankings for the sample</p>

Gene-Ranking Analysis of Pathway Expression (GRAPE) is a tool for
summarizing the consensus behavior of biological pathways in the form of a
template, and for quantifying the extent to which individual samples deviate
from the template. GRAPE templates are based only on the relative rankings
of the genes within the pathway and can be used for classification of tissue
types or disease subtypes. GRAPE can be used to represent gene-expression
samples as vectors of pathway scores, where each pathway score indicates the
departure from a given collection of reference samples. The resulting pathway-
space representation can be used as the feature set for various applications,
including survival analysis and drug-response prediction.
Users of GRAPE should use the following citation:
Klein MI, Stern DF, and Zhao H. GRAPE: A pathway template method to characterize
tissue-specific functionality from gene expression profiles.
BMC Bioinformatics, 18:317 (June 2017).

makePairwiseOrder: Make pairwise order representation of a sample

Description

Usage

Arguments

Value

Examples