Disentangling direct from indirect relationships in association networks

Networks are vital tools for understanding and modeling interactions in complex systems in science and engineering, and direct and indirect interactions are pervasive in all types of networks. However, quantitatively disentangling direct and indirect relationships in networks remains a formidable ta...

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Detalles Bibliográficos
Autores principales: Xiao, Naijia, Zhou, Aifen, Kempher, Megan L., Zhou, Benjamin Y., Shi, Zhou Jason, Yuan, Mengting, Guo, Xue, Wu, Linwei, Ning, Daliang, Van Nostrand, Joy, Firestone, Mary K., Zhou, Jizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764688/
https://www.ncbi.nlm.nih.gov/pubmed/34992138
http://dx.doi.org/10.1073/pnas.2109995119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764688/
https://www.ncbi.nlm.nih.gov/pubmed/34992138
http://dx.doi.org/10.1073/pnas.2109995119

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