Deep learning approaches for data-independent acquisition proteomics.

Journal: Expert review of proteomics
Published Date: Dec 28, 2021

Abstract

INTRODUCTION: Data-independent acquisition (DIA) is an emerging technology for large-scale proteomic studies. DIA data analysis methods are evolving rapidly, and deep learning has cut a conspicuous figure in this field.

Authors

  • Yi Yang
    Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Ling Lin
    Center for Sleep Science and Medicine, Stanford University, Stanford, 94304, CA, USA.
  • Liang Qiao
    Department of Chemistry, Shanghai Stomatological Hospital, and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200000, China. liang_qiao@fudan.edu.cn.

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