pyAffy: Processing raw data from Affymetrix expression microarrays in Python.
Project description
pyAffy is a Python/Cython implementation of the RMA algorithm for processing raw data from Affymetrix expression microarrays.
Installation
$ git clone ...
$ cd pyaffy
$ pip install -e .
Usage
The rma function expects two parameters: A CDF file and an ordered dictionary (of type collections.OrderedDict) with sample names as keys and corresponding CEL files as values. It returns a list of genes, a list of samples, and an expression matrix (of type numpy.ndarray), in that order.
from pyaffy import rma
# for documentation of the rma function, try:
# help(rma)
genes, samples, X = rma(cdf_file, sample_cel_files)
Copyright and License
Copyright (c) 2016 Florian Wagner
pyAffy is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License, Version 3, as published by the Free Software Foundation. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.
Project details
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pyaffy-0.2.0.tar.gz
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