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Added support for affy cel files.

This commit is contained in:
Truls Alexander Tangstad 2006-04-22 00:17:22 +00:00
parent c601ad3966
commit 23914b2d1e
1 changed files with 39 additions and 0 deletions

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@ -6,6 +6,7 @@ import plots
import dataset
#import geneontology
#import gostat
import rpy
from scipy import array,randn
class EinarsWorkflow (Workflow):
@ -16,6 +17,7 @@ class EinarsWorkflow (Workflow):
load = Stage('load', 'Load Data')
load.add_function(Function('load', 'Load Microarrays'))
load.add_function(CelFileImportFunction())
load.add_function(TestDataFunction())
self.add_stage(load)
@ -98,3 +100,40 @@ class TestDataFunction(Function):
axis_1 = ['cols',[]]
X = dataset.Dataset(x,[axis_0,axis_1])
return [X, plots.SinePlot(None)]
class CelFileImportFunction(Function):
def __init__(self):
Function.__init__(self, 'cel_import', 'Import Affy')
def run(self, data):
chooser = gtk.FileChooserDialog(title="Select cel files...", parent=None,
action=gtk.FILE_CHOOSER_ACTION_OPEN,
buttons=(gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL,
gtk.STOCK_OPEN, gtk.RESPONSE_OK))
chooser.set_select_multiple(True)
cel_filter = gtk.FileFilter()
cel_filter.set_name("Cel Files (*.cel)")
cel_filter.add_pattern("*.[cC][eE][lL]")
all_filter = gtk.FileFilter()
all_filter.set_name("All Files (*.*)")
all_filter.add_pattern("*")
chooser.add_filter(cel_filter)
chooser.add_filter(all_filter)
if chooser.run() == gtk.RESPONSE_OK:
logger.log('debug', "Selected files: %s" % ", ".join(chooser.get_filenames()))
rpy.r.library("affy")
# hack: we append ";1" to make sure no r-object is returned to python (faster)
rpy.r('At.aBatch <- ReadAffy(filenames=c("%s"));1' % '", "'.join(chooser.get_filenames()))
# we destroy it immediately to keep it from being on
# screen while we do something with the files
chooser.destroy()
# also here we append ";1"
rpy.r('At.eSet <- expresso(At.aBatch, bg.correct=F, summary.method="liwong", pmcorrect.method="pmonly", normalize.method="qspline");1')
m = rpy.r('At.m <- exprs(At.eSet)')
rownames = rpy.r('rownames(At.m)')
colnames = rpy.r('colnames(At.m)')
return [dataset.Dataset(m, (('ids', rownames), ('filename', colnames)))]
else:
chooser.destroy()