Example #1
0
	def haifeng_output_parser(self, row, argument=None, argument2=None):
		"""
		05-31-06 parse haifeng's output, only first two columns
			based on fimbfs_parser()
		2006-08-22 use ], [ as separator for edge_set
		2006-08-29 cluster_no increments first(starting from 1)
		2006-09-21 also parse the recurrence_array
		"""
		self.cluster_no += 1
		self.cooccurrent_cluster_id += 1
		
		cluster_list = []
		gene_no2incidence_array = argument
		curs = argument2
		cluster = cluster_dstructure()
		#initialize two sets
		cluster.vertex_set = row[0][1:-1].split(',')
		cluster.vertex_set = map(int, cluster.vertex_set)
		cluster.vertex_set.sort()
		
		cluster.cooccurrent_cluster_id = self.cooccurrent_cluster_id
		cluster.cluster_id = self.cluster_no
		
		cluster.edge_set = row[1][2:-2].split('], [')
		for i in range(len(cluster.edge_set)):
			cluster.edge_set[i] = cluster.edge_set[i].split(',')
			cluster.edge_set[i] = map(int, cluster.edge_set[i])
			cluster.edge_set[i].sort()
		cluster.edge_set.sort()
		
		cluster.no_of_edges = len(cluster.edge_set)
		no_of_nodes = len(cluster.vertex_set)
		cluster.splat_connectivity = 2*float(cluster.no_of_edges)/(no_of_nodes*(no_of_nodes-1))
		
		cluster.connectivity = cluster.splat_connectivity
		cluster.recurrence_array = row[2][1:-1].split(',')
		cluster.recurrence_array = map(float, cluster.recurrence_array)
		#05-31-06 fake the d_matrix
		cluster.d_matrix = [[0,0,0]]
		
		cluster.gim_array = get_vertex_set_gim_array(gene_no2incidence_array, cluster.vertex_set)
		
		if self.debug:
			print "cluster vertex_set: ", cluster.vertex_set
			print "cluster edge_set: ", cluster.edge_set
			print "cluster splat_connectivity: ", cluster.splat_connectivity
			print "cluster recurrence_array: ", cluster.recurrence_array
			print "cluster.d_matrix:", cluster.d_matrix
			print "cluster.gim_array:", cluster.gim_array
			raw_input("Continue?(Y/n)")
		cluster_list.append(cluster)
		
		return cluster_list
Example #2
0
	def fimbfs_parser(self, row, argument=None, argument2=None):
		"""
		10-28-05 similar to fim_parser(), but no sort for vertex_set and edge_set.
			and has d_matrix. Output of MpiBFSCluster.py
		12-06-05
			add gene_no2incidence_array
			calculate cluster.gim_array
		"""
		
		cluster_list = []
		gene_no2incidence_array = argument	#12-06-05
		curs = argument2
		cluster = cluster_dstructure()
		#initialize two sets
		cluster.vertex_set = row[0][1:-1].split(',')
		cluster.vertex_set = map(int, cluster.vertex_set)
		if len(cluster.vertex_set)<self.min_cluster_size:	#pre-stop
			return cluster_list
		
		cluster.cooccurrent_cluster_id = self.cooccurrent_cluster_id
		cluster.cluster_id = self.cluster_no
		
		cluster.edge_set = row[1][2:-2].split('], [')
		for i in range(len(cluster.edge_set)):
			cluster.edge_set[i] = cluster.edge_set[i].split(',')
			cluster.edge_set[i] = map(int, cluster.edge_set[i])
		
		cluster.no_of_edges = len(cluster.edge_set)
		no_of_nodes = len(cluster.vertex_set)
		cluster.splat_connectivity = 2*float(cluster.no_of_edges)/(no_of_nodes*(no_of_nodes-1))
		
		cluster.connectivity = cluster.splat_connectivity
		cluster.recurrence_array = row[2][1:-1].split(',')
		cluster.recurrence_array = map(float, cluster.recurrence_array)
		
		cluster.d_matrix = row[3]	#10-28-05 string form
		
		cluster.gim_array = get_vertex_set_gim_array(gene_no2incidence_array, cluster.vertex_set)	#12-06-05
		
		if self.debug:
			print "cluster vertex_set: ", cluster.vertex_set
			print "cluster edge_set: ", cluster.edge_set
			print "cluster splat_connectivity: ", cluster.splat_connectivity
			print "cluster recurrence_array: ", cluster.recurrence_array
			print "cluster.d_matrix:", cluster.d_matrix
			print "cluster.gim_array:", cluster.gim_array	#12-06-05
			raw_input("Continue?(Y/n)")
		cluster_list.append(cluster)
			
		self.cluster_no += 1
		self.cooccurrent_cluster_id += 1
		return cluster_list