workflow update
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@ -2,7 +2,7 @@ import gtk
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import logger
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from workflow import *
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from scipy import array
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from data import read_affy_annot
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from data import read_affy_annot,read_mootha,data_dict_to_matrix
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import plots
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class PCAWorkflow(Workflow):
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@ -12,7 +12,7 @@ class PCAWorkflow(Workflow):
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self.name = 'PCAs Workflow'
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load = Stage('load', 'Load Data')
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load.add_function(Function('load_mootha', 'Load Microarrays'))
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load.add_function(Function('load_mootha', 'Load'))
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self.add_stage(load)
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preproc = Stage('preprocess', 'Preprocessing')
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@ -103,3 +103,34 @@ class PCAFunction(Function):
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return [T,P,E,r]
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class LoadMoothaData(Function):
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def __init__(self):
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Function.__init__(self, 'load', 'Load diabetes data')
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self.annotations = None
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def load_expression_file(self, filename):
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f = open(filename)
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logger.log('notice', 'Loading expression file: %s' % filename)
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self.file = f
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def on_response(self, dialog, response):
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if response == gtk.RESPONSE_OK:
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logger.log('notice', 'Reading file: %s' % dialog.get_filename())
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self.load_expression_file(dialog.get_filename())
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def run(self, data):
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btns = ('Open', gtk.RESPONSE_OK, \
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'Cancel', gtk.RESPONSE_CANCEL)
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dialog = gtk.FileChooserDialog('Open Affy Annotation File',
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buttons=btns)
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dialog.connect('response', self.on_response)
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dialog.run()
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dialog.destroy()
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### Reading and parsing here
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d,sample_names = read_mootha(self.file)
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x,gene_ids = data_dict_to_matrix(d)
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gene_def = ['genes',gene_ids]
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sample_def = ['samples', sample_names]
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X = dataset.Dataset(x,[sample_def,gene_def]) # samples x genes
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return X
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