In [ ]:


In [11]:



Populating the interactive namespace from numpy and matplotlib
This may take a minute or two ...
initializing gene data from normalized_microarray_donor9861
SampleAnnot.csv appended.
MicroarrayExpression.csv appended.
Probes.csv appended.
Nsaba.aba['mni_coords'] initialized.

This may take a minute or two ...
database.txt loaded.
features.txt loaded.
Nsaba.ns['mni_coords'] initialized.

normalized_microarray_donor10021

In [1]:
# settings and modules
%config InlineBackend.figure_format = 'retina'
%pylab inline
from nsaba.nsaba import nsaba
from nsaba.nsaba.visualizer import NsabaVisualizer
ns_path = "/Users/Torben/Documents/ABI analysis/current_data_new/"
aba_root = '/Users/Torben/Documents/ABI analysis/'
aba_files =['normalized_microarray_donor9861','normalized_microarray_donor10021','normalized_microarray_donor14380','normalized_microarray_donor15496','normalized_microarray_donor15697']
#nsaba.Nsaba.aba_load(aba_path)

nsaba.Nsaba.aba_load(aba_root=aba_root, aba_files=[aba_files[1]])
nsaba.Nsaba.ns_load(ns_path)
N = nsaba.Nsaba()
N.get_aba_ge([1813])
V = NsabaVisualizer(N)
print aba_files[1]
V.visualize_ge([1813])


Populating the interactive namespace from numpy and matplotlib
This may take a minute or two ...
initializing gene data from normalized_microarray_donor10021
SampleAnnot.csv loaded.
MicroarrayExpression.csv loaded.
Probes.csv loaded.
Nsaba.aba['mni_coords'] initialized.

This may take a minute or two ...
database.txt loaded.
features.txt loaded.
Nsaba.ns['mni_coords'] initialized.

normalized_microarray_donor10021

In [1]:
# settings and modules
%config InlineBackend.figure_format = 'retina'
%pylab inline
from nsaba.nsaba import nsaba
from nsaba.nsaba.visualizer import NsabaVisualizer
ns_path = "/Users/Torben/Documents/ABI analysis/current_data_new/"
aba_root = '/Users/Torben/Documents/ABI analysis/'
aba_files =['normalized_microarray_donor9861','normalized_microarray_donor10021','normalized_microarray_donor14380','normalized_microarray_donor15496','normalized_microarray_donor15697']
#nsaba.Nsaba.aba_load(aba_path)

nsaba.Nsaba.aba_load(aba_root=aba_root, aba_files=[aba_files[2]])
nsaba.Nsaba.ns_load(ns_path)
N = nsaba.Nsaba()
N.get_aba_ge([1813])
V = NsabaVisualizer(N)
print aba_files[1]
V.visualize_ge([1813])


Populating the interactive namespace from numpy and matplotlib
This may take a minute or two ...
initializing gene data from normalized_microarray_donor14380
SampleAnnot.csv loaded.
MicroarrayExpression.csv loaded.
Probes.csv loaded.
Nsaba.aba['mni_coords'] initialized.

This may take a minute or two ...
database.txt loaded.
features.txt loaded.
Nsaba.ns['mni_coords'] initialized.

normalized_microarray_donor10021

In [1]:
# settings and modules
%config InlineBackend.figure_format = 'retina'
%pylab inline
from nsaba.nsaba import nsaba
from nsaba.nsaba.visualizer import NsabaVisualizer
ns_path = "/Users/Torben/Documents/ABI analysis/current_data_new/"
aba_root = '/Users/Torben/Documents/ABI analysis/'
aba_files =['normalized_microarray_donor9861','normalized_microarray_donor10021','normalized_microarray_donor14380','normalized_microarray_donor15496','normalized_microarray_donor15697']
#nsaba.Nsaba.aba_load(aba_path)

nsaba.Nsaba.aba_load(aba_root=aba_root, aba_files=[aba_files[3]])
nsaba.Nsaba.ns_load(ns_path)
N = nsaba.Nsaba()
N.get_aba_ge([1813])
V = NsabaVisualizer(N)
print aba_files[1]
V.visualize_ge([1813])


Populating the interactive namespace from numpy and matplotlib
This may take a minute or two ...
initializing gene data from normalized_microarray_donor15496
SampleAnnot.csv loaded.
MicroarrayExpression.csv loaded.
Probes.csv loaded.
Nsaba.aba['mni_coords'] initialized.

This may take a minute or two ...
database.txt loaded.
features.txt loaded.
Nsaba.ns['mni_coords'] initialized.

normalized_microarray_donor10021

In [1]:
# settings and modules
%config InlineBackend.figure_format = 'retina'
%pylab inline
from nsaba.nsaba import nsaba
from nsaba.nsaba.visualizer import NsabaVisualizer
ns_path = "/Users/Torben/Documents/ABI analysis/current_data_new/"
aba_root = '/Users/Torben/Documents/ABI analysis/'
aba_files =['normalized_microarray_donor9861','normalized_microarray_donor10021','normalized_microarray_donor14380','normalized_microarray_donor15496','normalized_microarray_donor15697']
#nsaba.Nsaba.aba_load(aba_path)

nsaba.Nsaba.aba_load(aba_root=aba_root, aba_files=[aba_files[4]])
nsaba.Nsaba.ns_load(ns_path)
N = nsaba.Nsaba()
N.get_aba_ge([1813])
V = NsabaVisualizer(N)
print aba_files[1]
V.visualize_ge([1813])


Populating the interactive namespace from numpy and matplotlib
This may take a minute or two ...
initializing gene data from normalized_microarray_donor15697
SampleAnnot.csv loaded.
MicroarrayExpression.csv loaded.
Probes.csv loaded.
Nsaba.aba['mni_coords'] initialized.

This may take a minute or two ...
database.txt loaded.
features.txt loaded.
Nsaba.ns['mni_coords'] initialized.

normalized_microarray_donor10021

In [1]:
# settings and modules
%config InlineBackend.figure_format = 'retina'
%pylab inline
from nsaba.nsaba import nsaba
from nsaba.nsaba.visualizer import NsabaVisualizer
ns_path = "/Users/Torben/Documents/ABI analysis/current_data_new/"
aba_root = '/Users/Torben/Documents/ABI analysis/'
aba_files =['normalized_microarray_donor9861','normalized_microarray_donor10021','normalized_microarray_donor14380','normalized_microarray_donor15496','normalized_microarray_donor15697','normalized_microarray_donor12876']
#nsaba.Nsaba.aba_load(aba_path)

nsaba.Nsaba.aba_load(aba_root=aba_root, aba_files=[aba_files[5]])
nsaba.Nsaba.ns_load(ns_path)
N = nsaba.Nsaba()
N.get_aba_ge([1813])
V = NsabaVisualizer(N)
print aba_files[1]
V.visualize_ge([1813])


Populating the interactive namespace from numpy and matplotlib
This may take a minute or two ...
initializing gene data from normalized_microarray_donor12876
SampleAnnot.csv loaded.
MicroarrayExpression.csv loaded.
Probes.csv loaded.
Nsaba.aba['mni_coords'] initialized.

This may take a minute or two ...
database.txt loaded.
features.txt loaded.
Nsaba.ns['mni_coords'] initialized.

normalized_microarray_donor10021