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Back Cover: Generating Proteomic Big Data for Precision Medicine
Author(s) -
Yue Liang,
Zhang Fangfei,
Sun Rui,
Sun Yaoting,
Yuan Chunhui,
Zhu Yi,
Guo Tiannan
Publication year - 2020
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.202070157
Subject(s) - proteome , cover (algebra) , big data , precision medicine , proteomics , data science , computational biology , computer science , human proteome project , bioinformatics , biology , data mining , engineering , biochemistry , genetics , mechanical engineering , gene
DOI: 10.1002/pmic.201900358 In article number 1900358, Liang Yue et al. reason that the complexity of medical problems and proteome science might be tackled effectively with proteomic big data and deep learning technology. Data‐independent acquisition now enables the generation of hundreds to thousands of quantitative proteome maps from human specimens of small amounts in clinical cohorts.