Lilikoi V2.0: a deep learning-enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data.

Journal: GigaScience
Published Date: Jan 23, 2021

Abstract

BACKGROUND: previously we developed Lilikoi, a personalized pathway-based method to classify diseases using metabolomics data. Given the new trends of computation in the metabolomics field, it is important to update Lilikoi software.

Authors

  • Xinying Fang
    Department of Biostatistics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 49109, USA.
  • Yu Liu
    Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
  • Zhijie Ren
    Department of Electric Engineering and Computer Science, 2260 Hayward Street, University of Michigan, Ann Arbor, MI 48109, USA.
  • Yuheng Du
    Department of Biostatistics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 49109, USA.
  • Qianhui Huang
    Department of Biostatistics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 49109, USA.
  • Lana X Garmire
    Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii. lgarmire@cc.hawaii.edu.

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