<｜begin▁of▁sentence｜>### Instruction:
Given the neural network graph of the C. elegans, which can be read from a GML file named celegansneural.gml, can you use the Markov Clustering algorithm in cdlib to perform community detection with specific parameters like the expansion factor and inflation factor? And can you convert the resulting clustering into a JSON format and print it?
### Response:
import networkx as nx
from cdlib import algorithms

# Load the neural network of the C. elegans
G = nx.read_gml('celegansneural.gml')

# Apply the Markov Clustering algorithm with specified parameters
coms = algorithms.markov_clustering(G, expansion=2, inflation=2, loop_value=0.1, iterations=100, pruning_threshold=0.001, pruning_frequency=2, convergence_check_frequency=2)

# Convert clustering to JSON format
clustering_json = coms.to_json()

print(clustering_json)
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