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九个 (不那么简单) 的步骤:在微生物生态学中使用机器学习的实用指南

Corinne Walsh1,2, Elías Stallard-Olivera1,2, Noah Fierer1,2

  • 1Cooperative Institute of Research in Environmental Sciences, CU Boulder, Boulder, Colorado, USA.

mBio
|December 21, 2023
PubMed
概括

本综述指导微生物生态学家使用机器学习 (ML) 模型来分析复杂的微生物组数据. 它侧重于ML算法的实际选择,应用和解释,用于预测微生物种类或基因.

关键词:
机器学习是机器学习.微生物生态学 微生物生态学微生物组是一个微生物组.预测建模预测建模

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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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