def groups_graph():
global NODE_CACHE, REL_CACHE
groups = request.args.getlist("groups[]")
neurons = neo.neuron_names(groups)
res = neo.all_cons_for_set(neurons)
NODE_CACHE = res["neurons"]
REL_CACHE = res["synapses"]
return jsonify(result=res)
def groups_graph():
global NODE_CACHE, REL_CACHE
groups = request.args.getlist('groups[]')
neurons = neo.neuron_names(groups)
res = neo.all_cons_for_set(neurons)
NODE_CACHE = res['neurons']
REL_CACHE = res['synapses']
return jsonify(result=res)
def pubmed_search():
global NODE_CACHE, REL_CACHE
query = request.args.get("query", "chemotaxis", type=str)
threshold = request.args.get("threshold", 1, type=int)
all_groups = neo.group_names()
filtered_groups = pubmed.neurons_for_query(all_groups, query, threshold)
neurons = neo.neuron_names(filtered_groups)
res = neo.all_cons_for_set(neurons)
NODE_CACHE = res["neurons"]
REL_CACHE = res["synapses"]
return jsonify(result=res)
def pubmed_search():
global NODE_CACHE, REL_CACHE
query = request.args.get('query', 'chemotaxis', type=str)
threshold = request.args.get('threshold', 1, type=int)
all_groups = neo.group_names()
filtered_groups = pubmed.neurons_for_query(all_groups, query, threshold)
neurons = neo.neuron_names(filtered_groups)
res = neo.all_cons_for_set(neurons)
NODE_CACHE = res['neurons']
REL_CACHE = res['synapses']
return jsonify(result=res)
def neuron_names():
groups = request.args.getlist("groups[]")
neurons = neo.neuron_names(groups)
print neurons
return jsonify(result=neurons)
def neuron_names():
groups = request.args.getlist('groups[]')
neurons = neo.neuron_names(groups)
print neurons
return jsonify(result=neurons)
