def __init__(self, network, S, P):
self.network = network
self.analyzer = PQNetworkAnalyzer(self.network, P)
self.query = DSGRN.ComputeSingleGeneQuery(network, S,
self.analyzer.Classify)
self.patterngraph = DSGRN.Graph(set([0, 1,
2]), [(0, 0), (1, 1), (0, 1),
(1, 0), (0, 2), (1, 2),
(2, 2)])
self.patterngraph.matching_label = lambda v: {
0: 'Q',
1: 'q',
2: 'B'
}[v]
self.matching_relation = lambda label1, label2: label1 == label2
self.memoization_cache = {}
def __init__(self, network, S, P):
self.network = network
self.analyzer = PQNetworkAnalyzer(self.network, P)
self.query = DSGRN.ComputeSingleGeneQuery(network, S,
self.analyzer.Classify)
self.patterngraph = DSGRN.Graph(set([0, 1, 2, 3, 4]), [(0, 0), (1, 1),
(0, 1), (1, 0),
(0, 2), (1, 2),
(2, 2), (2, 3),
(2, 4), (3, 3),
(3, 4), (4, 4),
(4, 3)])
self.patterngraph.matching_label = lambda v: {
0: 'Q',
1: 'q',
2: 'B',
3: 'p',
4: 'P'
}[v]
self.matching_relation = lambda label1, label2: label1 == label2
self.memoization_cache = {}
self.root = 0
self.leaf = self.query.number_of_gene_parameters() - 1
