Skip to content

Latest commit

 

History

History
22 lines (13 loc) · 646 Bytes

File metadata and controls

22 lines (13 loc) · 646 Bytes

genetic-circuit-partitioning

Partitioning a randomly synthesized graph, or a given network of interest

First download all dependacies in requirements.txt

Users may provide constraits and file locations in the /runs/settings.txt file Main functions are written in genetic_partition.py

Description of wrapper functions in the /bin folder:

1_generate edgelist.py Generate DAG edgelist from Cello's JSON output

2_graph_partition.py Perform graph partition with METIS (input graphs: circuit DAGs)

Alternatively, if partitioning a biological network, use 2_graph_partition_bionetworks.py

3_partition_optimize.py Partition optimization