if opts.network.endswith(".sif"):
graph = convert.read_sif(open(opts.network))
else:
graph = convert.read_spf(open(opts.network))
heats = parseHeats(opts.heats)
if opts.cut_graph and not opts.node_attributes:
cut_val = None
try:
cutoff = float(opts.cut_graph)
except:
raise Exception(
"Error: value supplied to cut_graph must be a positive number")
cutG = cutGraph(graph, heats, cutoff)
convert.write_sif(cutG, sys.stdout)
sys.exit(0)
if opts.node_attributes:
if not opts.cut_graph:
print "Error: please supply a cut value"
sys.exit(1)
cutoff = None
try:
cutoff = float(opts.cut_graph)
except:
raise Exception(
"Error: value supplied to cut_graph must be a positive number")
cutG = cutGraph(graph, heats, cutoff)
nodes = getNodes(cutG)
def main_build(args):
gr = networkx.MultiDiGraph()
paths = pathway_opener( list( (args.pathways[i],args.pathways[i+1]) for i in range(0, len(args.pathways),2) ) )
builer = GraphBuilder(args)
type_count = {}
interaction_count = {}
duplicate_edges = 0
for cur_path in paths:
log("Scanning: %s" % (cur_path.name))
cur_gr = cur_path.read()
if args.organism is None or cur_gr.graph.get('organism', args.organism) == args.organism:
fix_gr = builer.fix_graph(cur_gr)
for node in fix_gr.node:
if node in gr.node:
if 'type' in gr.node[node] and 'type' in fix_gr.node[node] and gr.node[node]['type'] != fix_gr.node[node]['type']:
error("%s failure: Mismatch Node Type: %s :%s --> %s" % (cur_path.name, node, gr.node[node]['type'], fix_gr.node[node]['type'] ))
if args.rename_nonprotein or args.all:
#because 'protein' is a default node type, if we see something not protein, then change the node to match
if gr.node[node]['type'] == 'protein':
gr.node[node]['type'] = fix_gr.node[node]['type']
else:
log("Merging: %s" % node)
gr.add_node(node, attr_dict=fix_gr.node[node])
for src, dst, data in fix_gr.edges(data=True):
interaction = data['interaction']
src_node_type = fix_gr.node[src].get('type', None)
dst_node_type = fix_gr.node[dst].get('type', None)
if src in gr.node and dst in gr.node:
has_edge = False
if dst in gr.edge[src]:
for i in gr.edge[src][dst]:
if gr.edge[src][dst][i]['interaction'] == interaction:
has_edge = True
if not has_edge:
if not (args.remove_self or args.all) or src != dst:
gr.add_edge(src, dst, attr_dict=data )
else:
log("Removing self loop: %s" % (src))
else:
duplicate_edges += 1
connect_list = networkx.connected_components(networkx.Graph(gr))
rm_list = []
for group in connect_list:
if len(group) < args.min_subgraph:
rm_list.extend(group)
for r in rm_list:
gr.remove_node(r)
log("+---------------------------+")
log("|Node Count: %15d|" % (len(gr.nodes())))
log("|Edge Count: %15d|" % (len(gr.edges())))
log("|Duplicate Edges: %10d|" % (duplicate_edges))
log("|Connected Components: %5d|" % (networkx.number_connected_components(networkx.Graph(gr))))
log("+---------------------------+")
if args.output:
handle = open(args.output, "w")
else:
handle = sys.stdout
for n_type in type_count:
log("Node Type %s: %d" % (n_type, type_count[n_type]))
if args.spf:
network_convert.write_spf(gr, handle)
elif args.sif:
network_convert.write_sif(gr, handle)
else:
network_convert.write_xgmml(gr, handle)
handle.close()
graph = None
if opts.network.endswith(".sif"):
graph = convert.read_sif(open(opts.network))
else:
graph = convert.read_spf(open(opts.network))
heats = parseHeats(opts.heats)
if opts.cut_graph and not opts.node_attributes:
cut_val = None
try:
cutoff = float(opts.cut_graph)
except:
raise Exception("Error: value supplied to cut_graph must be a positive number")
cutG = cutGraph(graph, heats, cutoff)
convert.write_sif(cutG, sys.stdout)
sys.exit(0)
if opts.node_attributes:
if not opts.cut_graph:
print "Error: please supply a cut value"
sys.exit(1)
cutoff = None
try:
cutoff = float(opts.cut_graph)
except:
raise Exception("Error: value supplied to cut_graph must be a positive number")
cutG = cutGraph(graph, heats, cutoff)
nodes = getNodes(cutG)
print "HeatsValue"
