106 lines
3.3 KiB
Python
106 lines
3.3 KiB
Python
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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import plots
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class PCAWorkflow(Workflow):
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def __init__(self, app):
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Workflow.__init__(self, app)
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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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self.add_stage(load)
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preproc = Stage('preprocess', 'Preprocessing')
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preproc.add_function(Function('log2', 'Logarithm'))
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self.add_stage(preproc)
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annot = Stage('annot', 'Affy annotations')
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annot.add_function(LoadAnnotationsFunction())
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self.add_stage(annot)
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model = Stage('model', 'Model')
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model.add_function(Function('pca', 'PCA'))
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self.add_stage(model)
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logger.log('debug', '\tPCA\'s workflow is now active')
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class LoadAnnotationsFunction(Function):
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def __init__(self):
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Function.__init__(self, 'load', 'Load Annotations')
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self.annotations = None
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def load_affy_file(self, filename):
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f = open(filename)
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logger.log('notice', 'Loading annotation 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_affy_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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annot = read_affy_annot(self.file)
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i_want = 'Pathway'
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nothing = '---'
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ids_in_data = set(data.names('genes')) #assuming we have genes
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sanity_check = set(annot.keys())
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if not ids_in_data.intersection(sanity_check) == ids_in_data:
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logger.log('debug','Some identifers in data does not exist in affy file!')
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for affy_id,description in annot:
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if affy_id in ids_in_data:
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pathways = desc[i_want]:
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if not pathways[0][0]=='--':
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return [self.annotations]
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class PCAFunction(Function):
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def __init__(self):
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Function.__init__(self, 'X', 'a_opt')
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self.output = None
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def run(self, data):
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logger.log('debug', 'datatype: %s' % type(data))
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if not isinstance(data,dataset.Dataset):
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return None
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logger.log('debug', 'dimensions: %s' % data.dims)
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## calculations
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T,P,E,tsq = pca(data._data,a_opt=2)
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comp_def = ['comp',['1','2']]
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singel_def = ['1',['s']]
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col_def = [data._dim_names[0],data.names(0)]
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row_def = [data._dim_names[1],data.names(1)]
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T = dataset.Dataset(T,[col_def,comp_def])
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P = dataset.Dataset(T,[row_def,comp_def])
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E = dataset.Dataset(E,[col_def,row_def])
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tsq = dataset.Dataset(tsq,[row_def,sigel_def])
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## plots
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loading_plot = plots.ScatterPlot()
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return [T,P,E,r]
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