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laydi/workflows/go_workflow.py

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import gtk
import logger
from annotations import Annotations
from workflow import *
#import geneontology
#import gostat
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from scipy import array
class EinarsWorkflow (Workflow):
def __init__(self, app):
Workflow.__init__(self, app)
self.name = 'Einar\'s Workflow'
load = Stage('load', 'Load Data')
load.add_function(Function('load', 'Load Microarrays'))
self.add_stage(load)
preproc = Stage('preprocess', 'Preprocessing')
preproc.add_function(Function('rma', 'RMA'))
self.add_stage(preproc)
go = Stage('go', 'Gene Ontology Data')
go.add_function(LoadAnnotationsFunction())
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go.add_function(GODistanceFunction())
self.add_stage(go)
regression = Stage('regression', 'Regression')
regression.add_function(Function('pls', 'PLS'))
self.add_stage(regression)
logger.log('debug', '\tEinar\'s workflow is now active')
class LoadAnnotationsFunction(Function):
def __init__(self):
Function.__init__(self, 'load-go-ann', 'Load Annotations')
self.annotations = None
def load_file(self, filename):
f = open(filename)
self.annotations = Annotations('genes', 'go-terms')
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logger.log('notice', 'Loading annotation file: %s' % filename)
for line in f.readlines():
val = line.split(' \t')
if len(val) > 1:
val = [v.strip() for v in val]
retval.add_annotations('genes', val[0],
'go-terms', set(val[1:]))
def on_response(self, dialog, response):
if response == gtk.RESPONSE_OK:
logger.log('notice', 'Reading file: %s' % dialog.get_filename())
self.load_file(dialog.get_filename())
def run(self, data):
btns = ('Open', gtk.RESPONSE_OK, \
'Cancel', gtk.RESPONSE_CANCEL)
dialog = gtk.FileChooserDialog('Open GO Annotation File',
buttons=btns)
dialog.connect('response', self.on_response)
dialog.run()
dialog.destroy()
return [self.annotations]
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class GODistanceFunction(Function):
def __init__(self):
Function.__init__(self, 'go_diatance', 'GO Distances')
self.output = None
def run(self, data):
logger.log('debug', 'datatype: %s' % type(data))
if not type(data) == Annotations:
return None
logger.log('debug', 'dimensions: %s' % data.dimensions)
genes = data.get_ids('genes')
gene_distances = array((len(genes), len(genes)))
return gene_distances