Bipartite networks represent causality better than simple networks: evidence, algorithms, and applications
A network, whose nodes are genes and whose directed edges represent positive or negative influences of a regulatory gene and its targets, is often used as a representation of causality. To infer a network, researchers often develop a machine learning model and then evaluate the model based on its ma...
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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2024-05-01
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| Serija: | Frontiers in Genetics |
| Teme: | |
| Online dostop: | https://www.frontiersin.org/articles/10.3389/fgene.2024.1371607/full |
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