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Updated: Sep 15, 2025

A Practical Guide to Phylogenetics for Nonexperts
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关于生物序列空间上的学习函数:关联高斯过程先验,规范化和尺度固定.

Samantha Petti1, Carlos Martí-Gómez2, Justin B Kinney2

  • 1Department of Mathematics, Tufts University, Medford, MA, 02155.

ArXiv
|July 17, 2025
PubMed
概括

这项研究将使用权重空间中的规范回归与函数空间中的高斯过程的序列到函数地图推理连接起来. 它阐明了调节器如何定义序列函数表示,并使序列函数统计数据的有效计算成为可能.

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Per-Unit Sequence Models01:26

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An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
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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.
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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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