microarray_quantilenorm

Quantile normalization of microarray data.

None

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

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.

Example:

> ABCD1 5.675
> ABCD2 3.456
> ABCD3 5.432

Matplotlib = 1.4.3

Scipy = 0.5.1

pip install microarray-quantilenorm

None

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.1008

May 6, 2015

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded May 6, 2015 Source

Hashes for microarray_quantilenorm-0.1008.tar.gz
Algorithm	Hash digest
SHA256	`f052f290d947fb76a5d50bc1fdd2482d1aa51b84f02ca76dfd218c35377d7896`
MD5	`a2c589fea9a75d32f0aaec6e378fd93d`
BLAKE2b-256	`3f3b67d0bcba2398839affb7b7abebf4e3b50c0cea2fa3a7b38e63337d34ce61`