def process(args):
# Create the Genonets object. This will load the input file into
# memory.
gn = Genonets(args)
# Use 'gn' to create genotype networks for all genotype sets.
gn.create()
# Perform only 'Robustness' and 'Evolvability' analyses on just two of
# the genotype sets available in the input file, i.e., 'Foxa2' and 'Bbx'.
gn.analyze(["Foxa2", "Bbx"], analyses=[ac.ROBUSTNESS, ac.EVOLVABILITY])
# Write the given genotype networks to files in GML format.
# For a genotype network with two or more components, two files are generated:
# One corresponds to the entire network with all components, and the other
# corresponds to the dominant component only.
gn.save(["Foxa2", "Bbx"])
# Save genotype network level measures for the given genotype sets to
# 'Genotype_set_measures.txt'.
gn.save_network_results(["Foxa2", "Bbx"])
# Save all genotype level measures for the given genotype sets to
# 'Foxa2_genotype_measures.txt' and 'Bbx_genotype_measures.txt' files.
gn.save_genotype_results(["Foxa2", "Bbx"])
def process(args):
# Create the Genonets object. This will load the input file into
# memory.
gn = Genonets(args)
# Use 'gn' to create genotype networks for all genotype sets.
gn.create()
# Perform all available analyses on all genotype networks.
gn.analyze()
# Write all genotype networks to files in GML format. For a genotype network
# with two or more components, two files are generated: One corresponds to the
# entire network with all components, and the other corresponds to the dominant
# component only.
gn.save()
# Save all genotype network level measures to 'Genotype_set_measures.txt'.
gn.save_network_results()
# Save all genotype level measures to '<genotypeSetName>_genotype_measures.txt'
# files. One file per genotype set is generated.
gn.save_genotype_results()
