# -*- coding: utf-8 -*-
"""
[Reference]
Fumiã, H. F., & Martins, M. L.
Boolean Network Model for Cancer Pathways: Predicting
Carcinogenesis and Targeted Therapy Outcomes.
PLoS ONE, (2013) 8(7), e69008
"""
import os
import pandas as pd
import sfa
import sfa.base
[docs]def create_data():
return FumiaData()
[docs]class FumiaData(sfa.base.Data):
def __init__(self):
self._abbr = "fumia_2013"
self._name = "Fumiã et al. PLoS ONE, (2013) 8(7), e69008"
inputs = {}
inputs['Mutagen'] = 1.0
inputs['GFs'] = 1.0
inputs['Nutrients'] = 1.0
inputs['TNFα'] = 0.0
inputs['Hypoxia'] = 1.0
dpath = os.path.dirname(__file__)
fpath_network = os.path.join(dpath, 'network.sif')
A, n2i, dg = sfa.read_sif(fpath_network, as_nx=True)
self._A = A
self._n2i = n2i
self._i2n = {idx: name for name, idx in n2i.items()}
self._dg = dg
self._inputs = inputs
# The following members are not defined due to the lack of data.
self._df_conds = None
self._df_exp = None
self._df_ptb = None
self._has_link_perturb = False
self._names_ptb = None
self._iadj_to_idf = None
# end of def __init__
# end of def class