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MB-SupCon: Microbiome-based Predictive Models via Supervised Contrastive Learning.
Yang, Sen; Wang, Shidan; Wang, Yiqing; Rong, Ruichen; Kim, Jiwoong; Li, Bo; Koh, Andrew Y; Xiao, Guanghua; Li, Qiwei; Liu, Dajiang J; Zhan, Xiaowei.
Afiliación
  • Yang S; Department of Statistical Science, Southern Methodist University, Dallas, TX 75275, United States. Electronic address: Sen.Yang@UTSouthwestern.edu.
  • Wang S; Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States. Electronic address: Shidan.Wang@UTSouthwestern.edu.
  • Wang Y; Department of Statistical Science, Southern Methodist University, Dallas, TX 75275, United States. Electronic address: lucy@mail.smu.edu.
  • Rong R; Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States. Electronic address: Ruichen.Rong@UTSouthwestern.edu.
  • Kim J; Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States. Electronic address: Jiwoong.Kim@UTSouthwestern.edu.
  • Li B; Harold C. Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States; Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States. Electronic address: Bo.Li@UTSouthwestern.edu.
  • Koh AY; Harold C. Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States; Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States; Department of Paediatrics, University of Texas Southwestern Medical Center,
  • Xiao G; Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States. Electronic address: dGuanghua.Xiao@UTSouthwestern.edu.
  • Li Q; Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX 75080, United States. Electronic address: Qiwei.Li@UTDallas.edu.
  • Liu DJ; Department of Public Health Sciences, Pennsylvania State University, Hershey, PA 17033, United States. Electronic address: dajiang.liu@psu.edu.
  • Zhan X; Department of Statistical Science, Southern Methodist University, Dallas, TX 75275, United States; Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States; Center for Genetics of Host Defens
J Mol Biol ; 434(15): 167693, 2022 08 15.
Article en En | MEDLINE | ID: mdl-35777465
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Metaboloma / Microbiota / Aprendizaje Automático Supervisado Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Mol Biol Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Metaboloma / Microbiota / Aprendizaje Automático Supervisado Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Mol Biol Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos