Genome-wide association study on color-image-based convolutional neural networks.

Journal: PeerJ
PMID: 39822975

Abstract

BACKGROUND: Convolutional neural networks have excellent modeling abilities to complex large-scale datasets and have been applied to genomics. It requires converting genotype data to image format when employing convolutional neural networks to genome-wide association studies. Existing studies converting the data into grayscale images have shown promising. However, the grayscale image may cause the loss of information of the genotype data.

Authors

  • Han-Ming Liu
    School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
  • Zhao-Fa Liu
    Ganzhou Teachers College, Ganzhou, China.
  • Zi Li
    Department of Nephrology, Institute of Nephrology, West China Hospital of Sichuan University, Chengdu, China.
  • Cong Yu
    School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
  • Peng-Cheng Hu
    School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
  • Qi-Feng Liu
    School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.
  • Tai-Gui Shi
    School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, China.

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