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2020 | OriginalPaper | Chapter

Efficient and Accurate Inference of Microbial Trajectories from Longitudinal Count Data

Authors : Tyler A. Joseph, Amey P. Pasarkar, Itsik Pe’er

Published in: Research in Computational Molecular Biology

Publisher: Springer International Publishing

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Abstract

The human body is home to trillions of microbial cells that play an essential role in health and disease [2]. The gut microbiome, for instance, is responsible for a variety of normal physiological processes such as the regulation of immune response and breakdown of xenobiotics [3]. Disturbances in gut communities have been associated with several diseases, notably obesity [7] and colitis [8]. Moreover, changes to the vaginal microbiome during pregnancy are associated with risk of preterm birth [4]. Consequently, investigating the human microbiome can provide insight into biological processes and the etiology of disease.

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Metadata
Title
Efficient and Accurate Inference of Microbial Trajectories from Longitudinal Count Data
Authors
Tyler A. Joseph
Amey P. Pasarkar
Itsik Pe’er
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-45257-5_27

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