GraphDDP


In [1]:
target_fname = 'data/myeloid/partition_my.csv'
data_fname = 'data/myeloid/fdata_my.csv'

In [2]:
target_fname = 'data/intestine/partition_ADULT.csv'
data_fname = 'data/intestine/fdata_ADULT.csv'

In [3]:
from graph_embed import pre_process
res = pre_process(data_fname,
                  target_fname,
                  correlation_transformation=True,
                  normalization=True,
                  feature_selection=True,
                  min_threshold=5)
data_matrix, target, target_dict = res

In [6]:
from display import interactive_widget
w = interactive_widget(data_matrix, target_dict, target)

In [5]:
from IPython.display import display
display(w)