Compositional zero-inflated network estimation for microbiome data

Compositional zero-inflated network estimation for microbiome data

Abstract Background The estimation of microbial networks can provide important insight into the ecological relationships among the organisms that comprise the microbiome. However, there are a number of critical statistical challenges in the inference of such networks from high-throughput data. Since...

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Bibliographic Details
Main Authors: Min Jin Ha, Junghi Kim, Jessica Galloway-Peña, Kim-Anh Do, Christine B. Peterson
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Bioinformatics
Subjects:
Microbiome
Network
Graphical model
Zero-inflation
Compositional data
Online Access:https://doi.org/10.1186/s12859-020-03911-w

Internet

https://doi.org/10.1186/s12859-020-03911-w

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