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Project Description


microarray-quantilenorm documentation


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


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.


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

2.) Each gene must be unique.


> ABCD1 5.675
> ABCD2 3.456
> ABCD3 5.432


Matplotlib = 1.4.3

Scipy = 0.5.1


pip install microarray-quantilenorm

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

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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