Identification of microbial interaction network: zero-inflated latent Ising model based approach

Identification of microbial interaction network: zero-inflated latent Ising model based approach

Abstract Background Throughout their lifespans, humans continually interact with the microbial world, including those organisms which live in and on the human body. Research in this domain has revealed the extensive links between the human-associated microbiota and health. In particular, the microbi...

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Bibliographic Details
Main Authors: Jie Zhou, Weston D. Viles, Boran Lu, Zhigang Li, Juliette C. Madan, Margaret R. Karagas, Jiang Gui, Anne G. Hoen
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BioData Mining
Subjects:
Gut microbiota
Microbial interaction network
Latent Ising model
Dynamic programming
High-dimensional data
Sparse estimation
Online Access:http://link.springer.com/article/10.1186/s13040-020-00226-7

Internet

http://link.springer.com/article/10.1186/s13040-020-00226-7

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