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. 2023 Mar 31:14:1151427.
doi: 10.3389/fgene.2023.1151427. eCollection 2023.

Genotyping of Haliotis discus hannai and machine learning models to predict the heat resistant phenotype based on genotype

Eun Soo Noh  1 , Sathiyamoorty Subramaniyam  2 , Sunghyun Cho  2 , Young-Ok Kim  1 , Choul-Ji Park  3 , Jeong-Ho Lee  4 , Bo-Hye Nam  1 , Younhee Shin  2
Affiliations

Genotyping of Haliotis discus hannai and machine learning models to predict the heat resistant phenotype based on genotype

Eun Soo Noh et al. Front Genet. .
No abstract available

Keywords: Haliotis discus hannai; abalone; aquaculture; genotype; heat resistant.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Sampling of machine learning predicted summaries. (A). Heat resistance experiment for sample selection and defining the class as case and control. (B). Sampling locations in South Korea. (C). Sample diversity observed with 96 SNPs based on principal component analysis (PCA). (D). Machine learning models predicted the accuracy from the pooled dataset.
See this image and copyright information in PMC

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