Construction of component orthogonal arrays with any number of components

Huang, Hengzhen

doi:10.1016/j.jspi.2020.11.003

Cited by 15 publications

(19 citation statements)

References 12 publications

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“…Systems biology research based on omics technology mainly covers genomics, proteomics, metabonomics, transcriptomics, and so on [13][14][15][16]. Among them, the contents of each omics are different.…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Analysis of Metabonomic Characteristics after Exercise Fatigue Based on NMR

Chen

Wang

2022

Contrast Media & Molecular Imaging

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In order to better understand the changes of body metabolism of athletes before and after exercise, this paper proposes a method of metabonomics feature analysis after exercise fatigue based on NMR. This paper makes a retrospective analysis on the metabonomic characteristics of urine of middle and long distance runners after 30 minutes of a heavy load training class based on NMR. The experiment analyzes the urine of athletes by combining NMR technology and metabonomics principle. The experimental results show that the Q2 value of this experiment is greater than that of all comparisons, and r2x and r2y are 0.436 and 0.85, respectively. Conclusion. This method can effectively analyze the changes of body metabolism after athletes’ fatigue, so as to better alleviate athletes’ fatigue after exercise.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Analysis of Metabonomic Characteristics after Exercise Fatigue Based on NMR

Chen

Wang

2022

Contrast Media & Molecular Imaging

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“…There is a growing body of literature on optimal design for OofA experiments, much of which focuses on a single model, which is the obvious strategy when the best design is known with certainty a priori. For example, Winkler et al (2020) and Chen et al (2020) focus on the PWO model, while Huang (2021) focuses on the CP model. Yang et al (2020) and Zhao et al (2020) consider both of these models in finding a design, first constructing component orthogonal arrays.…”

Section: Implications For Design Generationmentioning

confidence: 99%

“…Most authors focus on D-optimal designs, primarily based on combinatorics for design generation, e.g. using block designs (Chen et al 2020) or component orthogonal arrays (Yang et al 2020;Zhao et al 2020;Huang 2021), whereas other authors proposed purely numerical search strategies (Voelkel, 2019;Mee 2020, Winkler and.…”

Section: Introductionmentioning

confidence: 99%

“…The choice of design for OofA experiments has received considerable attention recently. Most authors focus on D‐optimal designs, primarily based on combinatorics for design generation, for example, using block designs (Chen et al., 2020) or component orthogonal arrays (Huang, 2021; Yang et al., 2020; Zhao et al., 2020), whereas other authors proposed purely numerical search strategies (Mee, 2020; Voelkel, 2019; Winker et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

“…For example,Winker et al (2020) and Chen et al (2020) focus on the PWO model, whileHuang (2021) focuses on the CP model.Yang et al (2020) andZhao et al …”

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confidence: 99%

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Regression models for order‐of‐addition experiments

Piepho

Williams

2021

Biometrical J

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A general construction method for component orthogonal arrays

Wang,

King,

Lin

2023

Quality & Reliability Eng

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Order‐of‐addition (OofA) experiments have gained renewed attention in recent years, especially in regard to their design. For these experiments, the response is determined by the order in which components are added. A particularly useful design introduced in OofA experiments is the component orthogonal array (COA). The COA maintains pairwise balance between any two components while also ensuring each component appears equally often in each position. In this paper, we propose an efficient algorithm for constructing COAs which can be naturally split into blocks of Latin squares. These blocks can be run sequentially in a systematic order, potentially requiring fewer runs to identify optimal orderings, while also preserving good properties should the overall design be needed. We also show how to extend this construction method to create designs for any number of components.

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Construction of component orthogonal arrays with any number of components

Cited by 15 publications

References 12 publications

[Retracted] Analysis of Metabonomic Characteristics after Exercise Fatigue Based on NMR

[Retracted] Analysis of Metabonomic Characteristics after Exercise Fatigue Based on NMR

Regression models for order‐of‐addition experiments

A general construction method for component orthogonal arrays

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