人类相关微生物特征：检验其预测价值。
Human-associated microbial signatures: examining their predictive value.
机构信息
Department of Computer Science, University of Colorado, Boulder, CO 80309, USA.
出版信息
Cell Host Microbe. 2011 Oct 20;10(4):292-6. doi: 10.1016/j.chom.2011.09.003.
Abstract
Host-associated microbial communities are unique to individuals, affect host health, and correlate with disease states. Although advanced technologies capture detailed snapshots of microbial communities, high within- and between-subject variation hampers discovery of microbial signatures in diagnostic or forensic settings. We suggest turning to machine learning and discuss key directions toward harnessing human-associated microbial signatures.
摘要
宿主相关的微生物群落是个体特有的，会影响宿主的健康，并与疾病状态相关。虽然先进的技术可以捕捉到微生物群落的详细快照，但个体内和个体间的高度变异性阻碍了在诊断或法医学环境中发现微生物特征。我们建议转向机器学习，并讨论利用人类相关微生物特征的关键方向。
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