rankingConversion


This function transforms intensity data in normalized ranks, i.e. high intensity genes will have a value near to 0
as instead low intensity genes a normalized rank near to 1.

 manip 

This package was developed to simplify the use of
Bioconductor tools for beginners having limited or no
experience in writing R code. This library provides a graphical
interface for microarray gene and exon level analysis as well
as miRNA/mRNA-seq data analysis

Raffaele A Calogero

oneChannelGUI

A graphical interface designed to facilitate analysis of
microarrays and miRNA/RNA-seq data on laptops

rankingConversion function

This function transforms intensity data in normalized ranks, i.e. high intensity genes will have a value near to 0
as instead low intensity genes a normalized rank near to 1.

rankingConversion: This function transforms intensity data in normalized ranks

Description

Usage

Arguments