تقرير
Latent Space Temporal Model of Microbial Abundance to Predict Domination and Bacteremia
| العنوان: | Latent Space Temporal Model of Microbial Abundance to Predict Domination and Bacteremia |
|---|---|
| المؤلفون: | Zhong, Ruiqi, Joseph, Tyler, Xavier, Joao B, Pe'er, Itsik |
| سنة النشر: | 2018 |
| المجموعة: | Quantitative Biology |
| مصطلحات موضوعية: | Quantitative Biology - Quantitative Methods |
| الوصف: | Gut microbial composition has been linked to multiple health outcomes. Yet, temporal analysis of this composition had been limited to deterministic models. In this paper, we introduce a probabilistic model for the dynamics of intestinal microbiomes that takes into account interaction among bacteria as well as external effects such as antibiotics. The model successfully deals with pragmatic issues such as random measurement error and varying time intervals between measurements through latent space modeling. We demonstrate utility of the model by using latent state features to predict the clinical events of intestinal domination and bacteremia, improving accuracy over existing methods. We further leverage this framework to validate known links between antibiotics and clinical outcomes, while discovering new ones. Comment: Experiment code available at https://github.com/ZhongRuiqi1997/NIPS2017MLCB, software at https://github.com/ZhongRuiqi1997/Kalman-Filter-Intestinal-Microbiota |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1808.10795 |
| رقم الأكسشن: | edsarx.1808.10795 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |