pmt: Poisson Margin Test

In jbedo/pmt: Poission Margin Test for Normalisation Free Significance Analysis of NGS Data

Description

Computes p-values for two sets of counts using the Poisson Margin Test.

Usage

pmt(a, b)

Arguments

a	Vector of counts
b	Vector of counts
two.sided	If false tests the one-sided hypothesis that b > a. NA will be returned for indices which are untestable.
signed	Set sign of returned log10 p-values to direction of change when doing a two-sided test. Return value will be positive for b > a and negative for a > b. This function computes the Poisson Margin Test (PMT) for two sets of counts. A vector of log10 p-values is returned, corresponding to the input vectors. Kowalczyk, A., Bed<c5><91>, J., Conway, T., Beresford-Smith, B., 2011. The Poisson margin test for normalization-free significance analysis of NGS data. Journal of Computational Biology 18, 391<e2><80><93>400. doi:10.1089/cmb.2010.0272 Justin Bed<c5><91> NGS Poisson

jbedo/pmt documentation built on May 18, 2019, 5:58 p.m.