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Quantile normalization of microarray data.

Project Description

Documentation

microarray-quantilenorm documentation

Description

This is an implementation of quantile normalization for microarray data analysis.

Usage

python quantile_normalization CSV

microarray-quantilenorm will then do the following:

  • Output a list of expression values for genes of interest in each sample to stdout.
  • Create a PDF and PNG file graphing the distribution for each sample both before and after normalization.

Restrictions

1.) Each CSV file must contain the same gene set.

2.) Each gene must be unique.

Example:

> ABCD1 5.675
> ABCD2 3.456
> ABCD3 5.432

Requirements

Matplotlib = 1.4.3

Scipy = 0.5.1

Installation

pip install microarray-quantilenorm

Release History

Release History

This version
History Node

0.1008

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
microarray_quantilenorm-0.1008.tar.gz (3.7 kB) Copy SHA256 Checksum SHA256 Source May 6, 2015

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