<｜begin▁of▁sentence｜>### Instruction:
As a Clinical Research Coordinator, you are responsible for overseeing a clinical trial that involves studying the impact of different medications on patients' health. The trial involves collecting data on the network of interactions between different medications and their respective effects on the patients.

To analyze the network of interactions, you have access to a directed graph representing the relationships between the medications, and you also have a list of distances associated with these interactions. You would like to compute UMAP weights for an undirected layout representation using the igraph library.

How can you achieve this using the igraph API?
### Response:
import igraph as ig

# Assume 'directed_graph' is a given directed graph and 'dist' is a list of distances associated with the graph edges
# Compute the UMAP weights from the directed graph
weights = igraph.umap_compute_weights(directed_graph, dist)

# Use the computed weights for UMAP layout
layout = directed_graph.layout_umap(weights=weights)

# Optionally, visualize the resulting layout
ig.plot(directed_graph, layout=layout)
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