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Chemo Genomic Enrichment Analysis

Project Description
To use CGEA:
Install: pip install CGEA

CGEA offers two primary classes:
drugListCGEA(druglist, saveAs = "json", sort = 'up', outputDir = None, prefix = 'CGEAResults',
data = {}, numWorkers = cpu_count(), verbose = False, numPermutations = 1000):
geneListCGEA(upgenes, downgenes, saveAs = "json", sort = 'up', outputDir = None, prefix = 'CGEAResults',
data = {}, numWorkers = cpu_count(), verbose = False, numPermutations = 1000):

arguments:
upgenes = list of up regulated genes in your gene set.
downgenes = list of down regulated genes in your gene set. Input None if you don't discriminate between up and down regulation.
druglist = list of drugs in quuery set.
outputDir: if you want to have the function save the outputs for you, supply an output directory here.
prefix: all the file outputs will have this as a prefix if outputDir is defined
async: set this to True if you want the program to run asynchronously
numPermutations: increasing this number will increase accuracy at the cost of speed
verbose: set this to True to have the program give status updates about its progress
numWorkers: how many cores to use
data: you can change what data is used by the program. Advanced users only.

methods:
run - run the process

objects:
results - holds the result data

Example operation:
myUpgenes = [1,2,3]
myDowngenes = [4,5,6]
myCGEA = geneListCGEA(myUpgenes, myDowngenes)
myCGEA.run()
results = myCGEA.results
Release History

Release History

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
CGEA-0.919.tar.gz (32.3 kB) Copy SHA256 Checksum SHA256 Source Jan 25, 2017

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