#!/usr/bin/env python
# coding: utf-8

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from clustergrammer_widget import *
import process_CCLE
net = Network()


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ds_df = process_CCLE.quick_downsample(num_clusts=100)


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ds_df.shape


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net.load_file('../proc_data/inst_ds.txt')
ccle = net.export_df()
net.dat['mat'].shape


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net.filter_N_top('row', 2000, rank_type='var')
net.normalize(axis='row', norm_type='zscore', keep_orig=True)


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net.dat['mat'].shape


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net.make_clust()


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clustergrammer_widget(network=net.widget())


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