188 lines
7.1 KiB
Python
188 lines
7.1 KiB
Python
import gtk
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from system import dataset, logger, plots, workflow
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from scipy import randn
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import cPickle
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class AffyWorkflow (workflow.Workflow):
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name = 'Affy Workflow'
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ident = 'affy'
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description = 'Affymetrics Workflow. Analysis of Affy-data.'
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def __init__(self, app):
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workflow.Workflow.__init__(self, app)
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load = workflow.Stage('load', 'Load Data')
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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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explore = workflow.Stage('explore', 'Explorative analysis')
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explore.add_function(PCAFunction(self))
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self.add_stage(explore)
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save = workflow.Stage('save', 'Save Data')
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save.add_function(DatasetSaveFunction())
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self.add_stage(save)
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class TestDataFunction(workflow.Function):
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def __init__(self):
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workflow.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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X = dataset.Dataset(x)
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return [X, plots.LinePlot(X)]
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class DatasetLoadFunction(workflow.Function):
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"""Loader for previously pickled Datasets."""
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def __init__(self):
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workflow.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(workflow.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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workflow.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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else:
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data = data[0]
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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(workflow.Function):
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"""Loads Affymetrics .CEL-files into matrix."""
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def __init__(self):
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workflow.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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silent_eval('E <- rma(E)')
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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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data = dataset.Dataset(m, (('ids', rownames), ('filename', colnames)), name="Affymetrics Data")
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plot = plots.LinePlot(data, "Gene profiles")
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return [data, plot]
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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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class PCAFunction(workflow.Function):
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"""Generic PCA function."""
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def __init__(self, wf):
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workflow.Function.__init__(self, 'pca', 'PCA')
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self._workflow = wf
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def run(self, (data,)):
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import rpy
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dim_2, dim_1 = data.get_dim_names()
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silent_eval = rpy.with_mode(rpy.NO_CONVERSION, rpy.r)
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rpy.with_mode(rpy.NO_CONVERSION, rpy.r.assign)("m", data.get_matrix())
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silent_eval("t = prcomp(t(m))")
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# we make a unique name for component dimension
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c = 0
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component_dim = prefix = "component"
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while component_dim in data.get_all_dims():
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component_dim = prefix + "_" + str(c)
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c += 1
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T_ids = map(str, range(1, rpy.r("dim(t$x)")[1]+1))
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T = dataset.Dataset(rpy.r("t$x"), [(dim_1, data.get_identifiers(dim_1)),
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(component_dim, T_ids)],
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all_dims = data.get_all_dims(), name="T")
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P = dataset.Dataset(rpy.r("t$rotation"), [(dim_2, data.get_identifiers(dim_2)),
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(component_dim, T_ids)],
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all_dims = data.get_all_dims(), name="P")
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# cleanup
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rpy.r.rm(["t", "m"])
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loading_plot = plots.ScatterPlot(P, dim_2, component_dim, '1', '2',
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"Loadings")
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score_plot = plots.ScatterPlot(T, dim_1,component_dim, '1', '2',
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"Scores")
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return [T, P, loading_plot, score_plot]
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