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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Joseph, T.A., Pasarkar, A.P., Pe’er, I. (2020). Efficient and Accurate Inference of Microbial Trajectories from Longitudinal Count Data. In: Schwartz, R. (eds) Research in Computational Molecular Biology. RECOMB 2020. Lecture Notes in Computer Science(), vol 12074. Springer, Cham. https://doi.org/10.1007/978-3-030-45257-5_27
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DOI: https://doi.org/10.1007/978-3-030-45257-5_27
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