Rigorous Statistical Methods for Rigorous Microbiome Science.
Rigorous Statistical Methods for Rigorous Microbiome Science.
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严谨的微生物组科学的严谨统计方法。
DOI：
10.1128/msystems.00117-19
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发表时间：
2019
期刊：
影响因子：
6.4
通讯作者：
Willis,AmyD
中科院分区：
文献类型：
--
作者：
Willis,AmyD
高通量测序促进了微生物组科学的发现，但区分真正的发现与虚假信号可能具有挑战性。统计多样性实验室开发了严格的统计方法和统计软件，用于分析微生物组和生物多样性数据。开发产生validP值的统计方法需要深思熟虑的建模和仔细的验证，但仔细的统计分析可以降低错误发现的风险并增加科学理解。
High-throughput sequencing has facilitated discovery in microbiome science, but distinguishing true discoveries from spurious signals can be challenging. The Statistical Diversity Lab develops rigorous statistical methods and statistical software for the analysis of microbiome and biodiversity data. Developing statistical methods that produce validPvalues requires thoughtful modeling and careful validation, but careful statistical analysis reduces the risk of false discoveries and increases scientific understanding.