211 lines
7.4 KiB
Python
211 lines
7.4 KiB
Python
import gtk
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import logger
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from annotations import Annotations
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from workflow import *
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import plots
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import dataset
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#import geneontology
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#import gostat
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from scipy import array,randn
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import cPickle
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class EinarsWorkflow (Workflow):
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name = 'Test Workflow'
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def __init__(self, app):
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Workflow.__init__(self, app)
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load = Stage('load', 'Load Data')
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load.add_function(Function('load', 'Load Microarrays'))
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load.add_function(CelFileImportFunction())
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load.add_function(TestDataFunction())
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load.add_function(DatasetLoadFunction())
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self.add_stage(load)
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preproc = Stage('preprocess', 'Preprocessing')
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preproc.add_function(Function('rma', 'RMA'))
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self.add_stage(preproc)
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go = Stage('go', 'Gene Ontology Data')
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go.add_function(LoadAnnotationsFunction())
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go.add_function(GODistanceFunction())
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self.add_stage(go)
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regression = Stage('regression', 'Regression')
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regression.add_function(Function('pls', 'PLS'))
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self.add_stage(regression)
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save = Stage('save', 'Save Data')
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save.add_function(DatasetSaveFunction())
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self.add_stage(save)
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logger.log('debug', '\tEinar\'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-go-ann', 'Load Annotations')
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self.annotations = None
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def load_file(self, filename):
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f = open(filename)
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self.annotations = Annotations('genes', 'go-terms')
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logger.log('notice', 'Loading annotation file: %s' % filename)
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for line in f.readlines():
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val = line.split(' \t')
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if len(val) > 1:
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val = [v.strip() for v in val]
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retval.add_annotations('genes', val[0],
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'go-terms', set(val[1:]))
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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_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 GO 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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return [self.annotations]
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class GODistanceFunction(Function):
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def __init__(self):
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Function.__init__(self, 'go_diatance', 'GO Distances')
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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 type(data) == Annotations:
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return None
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logger.log('debug', 'dimensions: %s' % data.dimensions)
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genes = data.get_ids('genes')
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gene_distances = array((len(genes), len(genes)))
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return gene_distances
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class TestDataFunction(Function):
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def __init__(self):
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Function.__init__(self, 'test_data', 'Generate Test Data')
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def run(self, data):
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logger.log('notice', 'Injecting foo test data')
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x = randn(20,30)
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axis_0 = ['rows',[]]
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axis_1 = ['cols',[]]
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X = dataset.Dataset(x,[axis_0,axis_1])
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return [X, plots.SinePlot(None)]
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class DatasetLoadFunction(Function):
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"""Loader for previously pickled Datasets."""
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def __init__(self):
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Function.__init__(self, 'load_data', 'Load Pickled Dataset')
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def run(self, data):
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chooser = gtk.FileChooserDialog(title="Select cel files...", parent=None,
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action=gtk.FILE_CHOOSER_ACTION_OPEN,
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buttons=(gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL,
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gtk.STOCK_OPEN, gtk.RESPONSE_OK))
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pkl_filter = gtk.FileFilter()
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pkl_filter.set_name("Python pickled data files (*.pkl)")
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pkl_filter.add_pattern("*.[pP][kK][lL]")
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all_filter = gtk.FileFilter()
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all_filter.set_name("All Files (*.*)")
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all_filter.add_pattern("*")
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chooser.add_filter(pkl_filter)
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chooser.add_filter(all_filter)
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try:
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if chooser.run() == gtk.RESPONSE_OK:
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return [cPickle.load(open(chooser.get_filename()))]
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finally:
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chooser.destroy()
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class DatasetSaveFunction(Function):
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"""QND way to save data to file for later import to this program."""
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def __init__(self):
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Function.__init__(self, 'save_data', 'Save Pickled Dataset')
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def run(self, data):
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if not data:
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logger.log("notice", "No data to save.")
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return
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chooser = gtk.FileChooserDialog(title="Save pickled data...", parent=None,
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action=gtk.FILE_CHOOSER_ACTION_SAVE,
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buttons=(gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL,
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gtk.STOCK_SAVE, gtk.RESPONSE_OK))
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pkl_filter = gtk.FileFilter()
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pkl_filter.set_name("Python pickled data files (*.pkl)")
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pkl_filter.add_pattern("*.[pP][kK][lL]")
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all_filter = gtk.FileFilter()
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all_filter.set_name("All Files (*.*)")
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all_filter.add_pattern("*")
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chooser.add_filter(pkl_filter)
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chooser.add_filter(all_filter)
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chooser.set_current_name(data.get_name() + ".pkl")
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try:
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if chooser.run() == gtk.RESPONSE_OK:
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cPickle.dump(data, open(chooser.get_filename(), "w"), protocol=2)
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logger.log("notice", "Saved data to %r." % chooser.get_filename())
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finally:
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chooser.destroy()
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class CelFileImportFunction(Function):
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"""Loads AffyMetrix .CEL-files into matrix."""
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def __init__(self):
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Function.__init__(self, 'cel_import', 'Import Affy')
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def run(self, data):
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import rpy
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chooser = gtk.FileChooserDialog(title="Select cel files...", parent=None,
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action=gtk.FILE_CHOOSER_ACTION_OPEN,
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buttons=(gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL,
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gtk.STOCK_OPEN, gtk.RESPONSE_OK))
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chooser.set_select_multiple(True)
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cel_filter = gtk.FileFilter()
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cel_filter.set_name("Cel Files (*.cel)")
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cel_filter.add_pattern("*.[cC][eE][lL]")
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all_filter = gtk.FileFilter()
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all_filter.set_name("All Files (*.*)")
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all_filter.add_pattern("*")
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chooser.add_filter(cel_filter)
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chooser.add_filter(all_filter)
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try:
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if chooser.run() == gtk.RESPONSE_OK:
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rpy.r.library("affy")
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silent_eval = rpy.with_mode(rpy.NO_CONVERSION, rpy.r)
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silent_eval('E <- ReadAffy(filenames=c("%s"))' % '", "'.join(chooser.get_filenames()))
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m = rpy.r('m <- E@exprs')
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vector_eval = rpy.with_mode(rpy.VECTOR_CONVERSION, rpy.r)
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rownames = vector_eval('rownames(m)')
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colnames = vector_eval('colnames(m)')
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# We should be nice and clean up after ourselves
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rpy.r.rm(["E", "m"])
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if m:
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return [dataset.Dataset(m, (('ids', rownames), ('filename', colnames)), "AffyMatrix Data")]
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else:
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logger.log("notice", "No data loaded from importer.")
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finally:
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chooser.destroy()
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