Interpretable machine learning framework reveals microbiome features of oral disease.

Journal: Microbiological research
Published Date:

Abstract

BACKGROUND: Although the oral microbiome plays an important role in the progression of oral diseases, the microbes closely related to these diseases remain largely uncharacterized.

Authors

  • Yueyang Yan
    Key Laboratory for Zoonoses Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun 130062, China.
  • Xin Bao
    Hospital of Stomatology, Jilin University, 1500 Qinghua Road, Changchun 130021, China.
  • Bohua Chen
    Department of Stomatology, The Fifth Affiliated Hospital of Sun Yat-sen University, 52 Meihua East Road, Xiangzhou District, Zhuhai City, Guangdong Province, China.
  • Ying Li
    School of Information Engineering, Chang'an University, Xi'an 710010, China.
  • Jigang Yin
    Key Laboratory for Zoonoses Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun 130062, China.
  • Guan Zhu
    Key Laboratory for Zoonoses Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun 130062, China.
  • Qiushi Li
    Key Laboratory for Zoonoses Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun 130062, China; Department of Stomatology, The Fifth Affiliated Hospital of Sun Yat-sen University, 52 Meihua East Road, Xiangzhou District, Zhuhai City, Guangdong Province, China. Electronic address: qiushili_jlu@126.com.